Eli Shechtman

Senior Principal Scientist

Seattle

Eli Shechtman is a Senior Principal Scientist in the Imaging Lab, Adobe Research. He received his B.Sc. in Electrical Engineering (cum laude) from Tel-Aviv University in 1996 and his MSc and PhD with honors in Applied Mathematics and Computer Science from the Weizmann Institute of Science in 2003 and 2007. He then joined Adobe and also shared his time as a post-doc at the University of Washington between 2007-2010. He has published over 100 academic publications. Two of his papers were chosen to be published as “Research Highlight” papers in the Communication of the ACM (CACM) journal. He served as a Technical Paper Committee member at SIGGRAPH 2013 and 2014, was an Area Chair at ICCV 2015, 2019 and 2021, CVPR 2015, 2017 and 2020, ECCV 2022 and an Associate Editor for TPAMI from 2016-2020. He has received several honors and awards, including the Best Paper prize at ECCV 2002, a Best Paper award at WACV 2018, a Best Paper Runner Up at FG 2020 and the Helmholtz “Test of Time Award” at ICCV 2017. His research is in the intersection of computer vision, computer graphics and machine learning. In particular, he is focusing on generative modeling and editing of visual data. Some of his research can be found in Adobe’s products such as Adobe Firefly, Photoshop’s Generative Fill, Remove tool and Content Aware Fill, Content Aware Fill for Video in After Effects, Upright in Lightroom and Characterizer in Character Animator as well as in more than 100 issued US patents. Eli leads a team of top researchers and research engineers.

His publications on Google Scholar, DBLP

Contact: elishe [at] adobe [dot] com

Academic Activities

Other

Tech Transfers

Honors & Awards

Publications

Improved Distribution Matching Distillation for Fast Image Synthesis

Yin, T., Gharbi, M., Park, T., Zhang, R., Shechtman, E., Durand, F., Freeman, W. (Dec. 9, 2024)

Oral

NeurIPS 2024

TurboEdit: Text-Based Image Editing Using Few-Step Diffusion Models

Wu, Z., Kolkin, N., Brandt, J., Zhang, R., Shechtman, E. (Oct. 4, 2024)

European Conference on Computer Vision (ECCV'24)

Diffusion2GAN: Distilling Diffusion Models into Conditional GANs

Kang, M., Zhang, R., Barnes, C., Paris, S., Kwak, S., Park, J., Shechtman, E., Zhu, J., Park, T. (Oct. 3, 2024)

European Conference on Computer Vision (ECCV'24)

Lazy Diffusion Transformer for Interactive Image Editing

Nitzan, Y., Wu, Z., Zhang, R., Shechtman, E., Cohen-Or, D., Park, T., Gharbi, M. (Oct. 2, 2024)

European Conference on Computer Vision (ECCV'24)

Editable Image Elements for Controllable Synthesis

Mu, J., Gharbi, M., Zhang, R., Shechtman, E., Vasconcelos, N., Wang, X., Park, T. (Oct. 1, 2024)

European Conference on Computer Vision (ECCV'24)

Removing Distributional Discrepancies in Captions Improves Image-Text Alignment

Li, Y., Liu, H., Cai, M., Li, Y., Shechtman, E., Lin, Z., Lee, Y., Singh, K. (Sep. 30, 2024)

European Conference on Computer Vision (ECCV'24)

DIFF-NST: Diffusion Interleaving For deFormable Neural Style Transfer

Ruta, D., Tarres, G., Gilbert, A., Shechtman, E., Kolkin, N., Collomosse, J. (Sep. 29, 2024)

European Conference on Computer Vision (ECCVW'24) Workshop on Vision for Art (VISART VII)

NeAT: Neural Artistic Tracing for high resolution Style Transfer

Ruta, D., Gilbert, A., Collomosse, J., Shechtman, E., Kolkin, N. (Sep. 29, 2024)

European Conference on Computer Vision (ECCVW'24) Workshop on Vision for Art (VISART VII)

One-step Diffusion with Distribution Matching Distillation

Yin, T., Gharbi, M., Zhang, R., Shechtman, E., Durand, F., Freeman, W., Park, T. (Jun. 21, 2024)

CVPR 2024

Image Neural Field Diffusion Models

Chen, Y., Wang, O., Zhang, R., Shechtman, E., Wang, X., Gharbi, M. (Jun. 18, 2024)

Highlight

CVPR 2024

Brush2Prompt: Contextual Prompt Generator for Object Inpainting

Chiu, M., Zhou, Y., Zhang, L., Lin, Z., Barnes, C., Amirghodsi, S., Shechtman, E., Shi, H. (Jun. 17, 2024)

CVPR 2024

One-step Diffusion with Distribution Matching Distillation

Yin, T., Gharbi, M., Zhang, R., Shechtman, E., Durand, F., Freeman, W., Park, T. (Dec. 5, 2023)

arxiv

Ablating Concepts in Text-to-Image Diffusion Models

Kumari, N., Zhang, B., Wang, S., Shechtman, E., Zhang, R., Zhu, J. (Oct. 5, 2023)

International Conference on Computer Vision (ICCV'23)

Perceptual Artifacts Localization for Image Synthesis Tasks

Zhang, L., Xu, Z., Barnes, C., Zhou, Y., Liu, Q., Zhang, H., Lin, Z., Amirghodsi, S., Shechtman, E., Shi, J. (Oct. 4, 2023)

International Conference on Computer Vision (ICCV'23)

Diffusion Image Analogies

Šubrtová, A., Lukáč, M., Čech, J., Futschik, D., Shechtman, E., Sýkora, D. (Aug. 8, 2023)

SIGGRAPH 2023

Multi-Concept Customization of Text-to-Image Diffusion

Kumari, N., Zhang, B., Zhang, R., Shechtman, E., Zhu, J. (Jun. 22, 2023)

Computer Vision and Pattern Recognition (CVPR'23)

Scaling up GANs for Text-to-Image Synthesis

Kang, M., Zhu, J., Zhang, R., Park, J., Shechtman, E., Paris, S., Park, T. (Jun. 22, 2023)

Highlight

Computer Vision and Pattern Recognition (CVPR'23)

Semi-supervised Parametric Real-world Image Harmonization

Wang, K., Gharbi, M., Zhang, H., Xia, Z., Shechtman, E., Shechtman, S. (Jun. 21, 2023)

Computer Vision and Pattern Recognition (CVPR'23)

Domain Expansion of Image Generators

Nitzan, Y., Gharbi, M., Zhang, R., Park, T., Zhu, J., Cohen-Or, D., Shechtman, E. (Jun. 21, 2023)

Computer Vision and Pattern Recognition (CVPR'23)

Automatic High Resolution Wire Segmentation and Removal

Chiu, M., Zhang, X., Wei, Z., Zhou, Y., Shechtman, E., Barnes, C., Lin, Z., Kainz, F., Amirghodsi, S., Shi, H., Shechtman, S. (Jun. 20, 2023)

Computer Vision and Pattern Recognition (CVPR'23)

Realistic Saliency Guided Image Enhancement

Miangoleh, S., Bylinskii, Z., Kee, E., Shechtman, E., Yaksoy, Y. (Jun. 20, 2023)

Computer Vision and Pattern Recognition (CVPR'23)

SimpSON: Simplifying Photo Cleanup With Single-Click Distracting Object Segmentation Network

Huynh, C., Zhou, Y., Lin, Z., Barnes, C., Shechtman, E., Amirghodsi, S., Shrivastava, A. (Jun. 20, 2023)

Computer Vision and Pattern Recognition (CVPR'23)

Automatic High Resolution Wire Segmentation and Removal

Chiu, M., Zhang, X., Wei, Z., Zhou, Y., Shechtman, E., Barnes, C., Lin, Z., Kainz, F., Amirghodsi, S., Shi, H. (Apr. 1, 2023)

CVPR 2023

GeoFill: Reference-Based Image Inpainting with Better Geometric Understanding

Zhao, Y., Barnes, C., Zhou, Y., Shechtman, E., Amirghodsi, S., Fowlkes, C. (Jan. 3, 2023)

WACV 2023

BlobGAN: Spatially Disentangled Scene Representations

Epstein, D., Park, T., Zhang, R., Shechtman, E., Efros, A. (Oct. 27, 2022)

European Conference on Computer Vision (ECCV'22)

Perceptual Artifacts Localization for Inpainting

Zhang, L., Zhou, Y., Barnes, C., Amirghodsi, S., Lin, Z., Shechtman, E., Shi, J. (Oct. 27, 2022)

Oral

European Conference on Computer Vision (ECCV'22)

Any-resolution Training for High-resolution Image Synthesis

Chai, L., Gharbi, M., Shechtman, E., Isola, P., Zhang, R. (Oct. 27, 2022)

European Conference on Computer Vision (ECCV'22)

ARF: Artistic Radiance Fields

Zhang, K., Kolkin, N., Bi, S., Luan, F., Xu, Z., Shechtman, E., Snavely, N. (Oct. 26, 2022)

European Conference on Computer Vision (ECCV'22)

Inpainting at Modern Camera Resolution by Guided PatchMatch with Auto-Curation

Zhang, L., Barnes, C., Wampler, K., Amirghodsi, S., Shechtman, E., Lin, Z., Shi, J. (Oct. 26, 2022)

European Conference on Computer Vision (ECCV'22)

ChunkyGAN Real Image Inversion via Segments

Subrtova, A., Futschik, D., Cech, J., Lukáč, M., Shechtman, E., Sykora, D. (Oct. 25, 2022)

European Conference on Computer Vision (ECCV'22)

Controllable Shadow Generation Using Pixel Height Maps

Sheng, Y., Liu, Y., Zhang, J., Yin, W., Oztireli, A., Zhang, H., Lin, Z., Shechtman, E., Benes, B. (Oct. 24, 2022)

European Conference on Computer Vision (ECCV'22)

CM-GAN: Image Inpainting with Cascaded Modulation GAN and Object-Aware Training

Zheng, H., Lin, Z., Lu, J., Cohen, S., Shechtman, E., Barnes, C., Zhang, J., Xu, N., Amirghodsi, S., Luo, J. (Oct. 23, 2022)

European Conference on Computer Vision (ECCV'22)

Contrastive Learning for Diverse Disentangled Foreground Generation

Li, Y., Li, Y., Lu, J., Shechtman, E., Lee, Y., Singh, K. (Oct. 23, 2022)

European Conference on Computer Vision (ECCV'22)

Third Time’s the Charm? Image and Video Editing with StyleGAN3

Alaluf, Y., Patashnik, O., Wu, Z., Zamir, A., Shechtman, E., Lischinski, D., Cohen-Or, D. (Oct. 23, 2022)

AIM: Advances in Image Manipulation workshop and challenges at ECCV'22

GAN-Supervised Dense Visual Alignment (GANgealing)

Peebles, W., Zhu, J., Zhang, R., Torralba, A., Efros, A., Shechtman, E. (Jun. 24, 2022)

Computer Vision and Pattern Recognition (CVPR'22)

Ensembling Off-the-shelf Models for GAN Training

Kumari, N., Zhang, R., Shechtman, E., Zhu, J. (Jun. 23, 2022)

Computer Vision and Pattern Recognition (CVPR'22)

StyleSDF: High-Resolution 3D-Consistent Image and Geometry Generation

O-Elr, R., Luo, X., Shan, M., Shechtman, E., Park, J., Kemelmacher-Shlizerman, I. (Jun. 22, 2022)

Computer Vision and Pattern Recognition (CVPR'22)

InsetGAN for Full-Body Image Generation

Frühstück, A., Singh, K., Shechtman, E., Mitra, N., Wonka, P., Lu, J. (Jun. 19, 2022)

CVPR2022

CharacterGAN: Few-Shot Keypoint Character Animation and Reposing

Hinz, T., Fisher, M., Wang, O., Shechtman, E., Wermter, S. (Jan. 4, 2022)

WACV'22

Pose with Style: Detail-Preserving Pose-Guided Image Synthesis with Conditional StyleGAN

AlBahar, B., Lu, J., Yang, J., Shu, Z., Shechtman, E., Huang, J. (Dec. 14, 2021)

Siggraph Asia 2021

Real Image Inversion via Segments

Futschik, D., Lukáč, M., Shechtman, E., Sykora, D. (Nov. 2, 2021)

arxiv

StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery

Patashnik, O., Wu, Z., Shechtman, E., Cohen-Or, D., Lischinski, D. (Oct. 14, 2021)

Oral

International Conference on Computer Vision (ICCV'21)

Collaging Class-specific GANs for Semantic Image Synthesis

Li, Y., Li, Y., Lu, J., Shechtman, E., Lee, Y., Singh, K., Lu, J. (Oct. 13, 2021)

International Conference on Computer Vision (ICCV'21)

Modulated Periodic Activations for Generalizable Local Functional Representations

Mehta, I., Gharbi, M., Barnes, C., Shechtman, E., Ramamoorthi, R., Chandraker, M. (Oct. 13, 2021)

International Conference on Computer Vision (ICCV'21)

KDSalBox: A toolbox of efficient knowledge-distilled saliency models

Kastrati, A., Bylinskii, Z., Shechtman, E. (Oct. 12, 2021)

SVRHM 2021 Workshop @ NeurIPS

StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation

Wu, Z., Lischinski, D., Shechtman, E., Shechtman, S. (Jun. 24, 2021)

Oral

Computer Vision and Pattern Recognition (CVPR'21)

Few-shot Image Generation via Cross-domain Correspondence

Ojha, U., Li, Y., Lu, J., Efros, A., Lee, Y., Shechtman, E., Zhang, R. (Jun. 23, 2021)

Computer Vision and Pattern Recognition (CVPR'21)

Spatially-Adaptive Pixelwise Networks for Fast Image Translation

Shaham, T., Gharbi, M., Zhang, R., Shechtman, E., Michaeli, T. (Jun. 23, 2021)

Computer Vision and Pattern Recognition (CVPR'21)

Ensembling with Deep Generative Views

Chai, L., Zhu, J., Shechtman, E., Isola, P., Zhang, R. (Jun. 22, 2021)

Computer Vision and Pattern Recognition (CVPR'21)

TransFill: Reference-guided Image Inpainting by Merging Multiple Color and Spatial Transformations

Zhou, Y., Barnes, C., Shechtman, E., Amirghodsi, S. (Jun. 21, 2021)

Computer Vision and Pattern Recognition (CVPR'21)

STALP: Style Transfer With Auxiliary Limited Pairing

Futschik, D., Kucera, M., Lukáč, M., Wang, Z., Shechtman, E., Sykora, D. (May. 4, 2021)

Computer Graphics Forum 40(2), 2020 (Eurographics'21)

Fine-grained Foreground Retrieval Via Teacher-Student Learning

Wu, Z., Lischinski, D., Shechtman, E. (Jan. 5, 2021)

Winter Conference on Applications of Computer Vision (WACV'21)

Few-shot Image Generation via Self-adaptation

Li, Y., Zhang, R., Lu, J., Shechtman, E. (Dec. 6, 2020)

Neurips 2020

Swapping Autoencoder for Deep Image Manipulation

Park, T., Zhu, J., Wang, O., Lu, J., Shechtman, E., Efros, A., Zhang, R. (Dec. 6, 2020)

Neurips 2020

MakeItTalk: Speaker-Aware Talking Head Animation

Zhou, Y., Han, X., Shechtman, E., Echevarria, J., Kalogerakis, E., Li, D. (Nov. 30, 2020)

SIGGRAPH Asia 2020

Learning Monocular Face Reconstruction using Multi-View Supervision

Shu, Z., Ceylan, D., Sunkavalli, K., Shechtman, E., Hadap, S., Samaras, D. (Nov. 1, 2020)

Best Paper Runner Up award

Face and Gesture (FG'20)

High-Resolution Image Inpainting with Iterative Confidence Feedback and Guided Upsampling

Zeng, Y., Lin, Z., Yang, J., Zhang, J., Shechtman, E., Lu, H. (Aug. 23, 2020)

To appear in European Conference on Computer Vision (ECCV'20)

Lifespan Age Transformation Synthesis

Or-El, R., Sengupta, S., Fried, O., Shechtman, E., Kemelmacher-Shlizerman, I. (Aug. 23, 2020)

To appear in European Conference on Computer Vision (ECCV'20)

Look here! A parametric learning based approach to redirect visual attention

Mejjati, Y., Gomes, C., Kim, K., Shechtman, E., Bylinskii, Z. (Aug. 23, 2020)

European Conference on Computer Vision (ECCV)

Image Morphing with Perceptual Constraints and STN Alignment

Fish, N., Zhang, R., Perry, L., Cohen-Or, D., Shechtman, E., Barnes, C. (May. 1, 2020)

Computer Graphics Forum (CGF)

State of the Art on Neural Rendering

Tewari, A., Fried, O., Thies, J., Sitzmann, V., Lombardi, S., Sunkavalli, K., Martin-Brualla, R., Simon, T., Saragih, J., Niessner, M., Pandey, R., Fanello, S., Wetzstein, G., Zhu, J., Theobalt, C., Agrawala, M., Shechtman, E., Goldman, D., Zollhoefer, M. (Apr. 8, 2020)

Computer Graphics Forum (EG STAR 2020)

Neural Puppet: Generative Layered Cartoon Characters

Poursaeed, O., Kim, V., Shechtman, E., Saito, J., Belongie, S., Shechtman, E. (Mar. 1, 2020)

Winter Conference on Applications of Computer Vision (WACV'20)

Arbitrary Style Transfer Using Neurally-Guided Patch-Based Synthesis

Texler, O., Futschik, D., Fišer, J., Lukáč, M., Lu, J., Shechtman, E., Sýkora, D. (Jan. 1, 2020)

Computers & Graphics (CAG 2020)

Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation

Ghosh, A., Zhang, R., Dokania, P., Efros, A., Torr, P., Wang, O., Shechtman, E. (Oct. 29, 2019)

International Conference on Computer Vision (ICCV'19)

Deep CG2Real: Synthetic-to-Real Translation via Image Disentanglement

Bi, S., Sunkavalli, K., Perazzi, F., Shechtman, E., Kim, V., Ramamoorthi, R. (Oct. 29, 2019)

International Conference on Computer Vision (ICCV'19)

UprightNet: Geometry-Aware Camera Orientation Estimation from Single Images

Xian, W., Li, Z., Fisher, M., Eisenmann, J., Shechtman, E., Snavely, N. (Oct. 29, 2019)

International Conference on Computer Vision (ICCV'19)

Stylizing Video by Example

Jamriška, O., Sochorová, S., Texler, O., Lukáč, M., Fišer, J., Lu, J., Shechtman, E., Sýkora, D. (Aug. 1, 2019)

ACM Transactions on Graphics (Proc. SIGGRAPH'19)

Text-based Editing of Talking-head Video

Fried, O., Tewari, A., Zollhofer, M., Finkelstein, A., Shechtman, E., Goldman, D., Genova, K., Jin, Z., Theobalt, C., Agarwala, M. (Aug. 1, 2019)

ACM Transactions on Graphics (Proc. SIGGRAPH'19)

Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction

Hsuan-Lin, C., Wang, O., Russell, B., Shechtman, E., Kim, V., Fisher, M., Lucey, S., Shechtman, S. (Jun. 18, 2019)

IEEE Conference on Computer Vision and Pattern Recognition (CVPR'19)

Im2Pencil: Controllable Pencil Illustration from Photographs

Li, Y., Fang, C., Hertzmann, A., Shechtman, E., Yang, M. (Jun. 18, 2019)

IEEE Conference on Computer Vision and Pattern Recognition (CVPR'19)

Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture

Yu, N., Barnes, C., Shechtman, E., Amirghodsi, S., Lukáč, M. (Jun. 18, 2019)

IEEE Conference on Computer Vision and Pattern Recognition (CVPR'19)

StyleBlit: Fast Example-Based Stylization with Local Guidance

Sýkora, D., Jamriska, O., Lu, J., Shechtman, E. (May. 6, 2019)

Eurographics 2019

Enhancing Neural Style Transfer using Patch-Based Synthesis

Texler, O., Fišer, J., Lukáč, M., Lu, J., Shechtman, E., Sýkora, D. (May. 6, 2019)

Expressive 2019

Saliency driven image manipulation

Mechrez, R., Shechtman, E., Zelnik-Manor, L. (Mar. 1, 2019)

ACM Machine Vision Applications

Localizing Moments in Video with Temporal Language

Hendricks, L., Wang, O., Shechtman, E., Sivic, J., Darrell, T., Russell, B. (Nov. 1, 2018)

Empirical Methods in Natural Language Processing (EMNLP'18)

Learning Blind Video Temporal Consistency

Lai, W., Huang, J., Wang, O., Shechtman, E., Yumer, E., Yang, M., Shechtman, S. (Sep. 11, 2018)

European Conference on Computer Vision (ECCV'18)

MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics

Yan, X., Rastogi, A., Villegas, R., Sunkavalli, K., Shechtman, E., Hadap, S., Yumer, E., Lee, H. (Sep. 10, 2018)

European Conference on Computer Vision (ECCV'18)

Deep Painterly Harmonization

Luan, F., Paris, S., Shechtman, E., Bala, K. (Jul. 3, 2018)

Eurographics Symposium on Rendering, Experimental Ideas & Implementations (EGSR'18)

Multi-Content GAN for Few-Shot Font Style Transfer

Azadi, S., Fisher, M., Kim, V., Wang, Z., Shechtman, E., Darrell, T. (Jun. 21, 2018)

(Spotlight)

IEEE Conference on Computer Vision and Pattern Recognition (CVPR'18)

ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing

Lin, C., Yumer, E., Wang, O., Shechtman, E., Lucey, S. (Jun. 21, 2018)

IEEE Conference on Computer Vision and Pattern Recognition (CVPR'18)

The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

Zhang, R., Isola, P., Efros, A., Shechtman, E., Wang, O. (Jun. 19, 2018)

IEEE Conference on Computer Vision and Pattern Recognition (CVPR'18)

Saliency Driven Image Manipulation

Mechrez, R., Shechtman, E., Zelnik-Manor, L. (Mar. 14, 2018)

(Best Paper!)

IEEE Winter Conf. on Applications of Computer Vision (WACV'18)

Toward Multimodal Image-to-Image Translation

Zhu, J., Zhang, R., Pathak, D., Darrell, T., Efros, A., Wang, O., Shechtman, E. (Dec. 4, 2017)

Neural Information Processing Systems (NIPS'17)

Transferring Image-based Edits for Multi-Channel Compositing

Hennessey, J., Li, W., Russell, B., Shechtman, E., Mitra, N. (Nov. 27, 2017)

ACM Transactions on Graphics (Proc. SIGGRAPH Asia'17)

Training Deep Networks to be Spatially Sensitive

Kolkin, N., Shakhnarovich, G., Shechtman, E. (Oct. 27, 2017)

International Conference on Computer Vision (ICCV), Venice 2017

Localizing Moments in Video with Natural Language

Hendricks, L., Wang, O., Shechtman, E., Sivic, J., Darrell, T., Russell, B. (Oct. 27, 2017)

International Conference on Computer Vision (ICCV), Venice 2017

Photorealistic Style Transfer with Screened Poisson Equation

Mechrez, R., Shechtman, E., Zelnik-Manor, L. (Sep. 4, 2017)

British Machine Vision Conference (BMVC'17)

Nautilus: Recovering Regional Symmetry Transformations for Image Editing

Lukáč, M., Sykora, D., Sunkavalli, K., Shechtman, E., Jamriška, O., Carr, N., Pajdla, T. (Jul. 30, 2017)

ACM Transactions on Graphics (Proc. of SIGGRAPH 2017)

Example-Based Synthesis of Stylized Facial Animations

Fišer, J., Jamriška, O., Simons, D., Shechtman, E., Lu, J., Asente, P., Lukáč, M., Sýkora, D. (Jul. 30, 2017)

ACM Transactions on Graphics (Proc. of SIGGRAPH 2017)

Portrait Lighting Transfer using a Mass Transport Approach

Shu, Z., Hadap, S., Shechtman, E., Sunkavalli, K., Paris, S., Samaras, D. (Jul. 29, 2017)

ACM Transactions on Graphics (TOG'17, presented at SIGGRAPH'17)

Controlling Perceptual Factors in Neural Style Transfer

Gatys, L., Ecker, A., Bethge, M., Hertzmann, A., Shechtman, E. (Jul. 21, 2017)

IEEE Conference on Computer Vision and Pattern Recognition (CVPR'17)

High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis

Yang, H., Lu, X., Lin, Z., Shechtman, E., Wang, O., Li, H. (Jul. 21, 2017)

IEEE Conference on Computer Vision and Pattern Recognition (CVPR'17)

Deep Photo Style Transfer

Luan, F., Paris, S., Shechtman, E., Bala, K. (Jul. 21, 2017)

IEEE Conference on Computer Vision and Pattern Recognition (CVPR'17)

Neural Face Editing with Intrinsic Image Disentangling

Shu, Z., Yumer, E., Hadap, S., Sunkavalli, K., Shechtman, E., Samaras, D. (Jul. 21, 2017)

(Oral)

IEEE Conference on Computer Vision and Pattern Recognition (CVPR'17)

PlenoPatch: Patch-based Plenoptic Image Manipulation

Zhang, F., Wang, J., Shechtman, E., Zhou, Z., Shi, J., Hu, S. (May. 1, 2017)

IEEE Transactions on Visualization & Computer Graphics (TVCG'17)

Removing Shadows from Images of Documents

Bako, S., Darabi, S., Shechtman, E., Wang, J., Sunkavalli, K., Sen, P. (Nov. 26, 2016)

Asian Conference on Computer Vision (ACCV) 2016

Multi-View Inpainting for Image-Based Scene Editing and Rendering

Thonat, T., Shechtman, E., Paris, S., Drettakis, G. (Oct. 26, 2016)

International Conference on 3D Vision (3DV)

Generative Visual Manipulation on the Natural Image Manifold

Zhu, J., Krähenbühl, P., Shechtman, E., Efros, A. (Oct. 11, 2016)

European Conference on Computer Vision (ECCV'16)

Appearance Harmonization for Single Image Shadow Removal

Ma, L., Wang, J., Shechtman, E., Sunkavalli, K., Hu, S. (Oct. 10, 2016)

Computer Graphics Forum (Proc. Pacific Graphics 2016)

EyeOpener: Editing Eyes in the Wild

Shu, Z., Shechtman, E., Samaras, D., Hadap, S. (Sep. 1, 2016)

ACM Transactions on Graphics (TOG'16), Volume 36, Issue 1

StyLit: Illumination-Guided Example-Based Stylization of 3D Renderings

Fišer, J., Jamriška, O., Lukáč, M., Shechtman, E., Asente, P., Lu, J., Sýkora, D. (Aug. 1, 2016)

ACM Transactions on Graphics (Proc. of SIGGRAPH 2016)

Perspective-aware Manipulation of Portrait Photos

Fried, O., Shechtman, E., Goldman, D., Finkelstein, A. (Jul. 24, 2016)

ACM Transactions on Graphics (Proc. SIGGRAPH'16)

Automatic Portrait Segmentation for Image Stylization

Shen, X., Sachs, I., Paris, S., Hertzmann, A., Shechtman, E., Price, B., Jia, J. (May. 1, 2016)

Eurographics 2016.

Learning a Discriminative Model for the Perception of Realism in Composite Images

Zhu, J., Krähenbühl, P., Shechtman, E., Efros, A. (Dec. 12, 2015)

International Conference on Computer Vision (ICCV'15), Santiago 2015

PatchMatch-based Automatic Lattice Detection for Near-Regular Textures

Liu, S., Ng, T., Sunkavalli, K., Do, M., Shechtman, E., Carr, N. (Dec. 7, 2015)

International Conference on Computer Vision (ICCV'15)

Brushables: Example-based Edge-aware Directional Texture Painting

Lukáč, M., Fišer, J., Asente, P., Lu, J., Shechtman, E., Sýkora, D. (Oct. 8, 2015)

Computer Graphics Forum (Proc. Pacific Graphics 2015)

DeepFont: Identify Your Font from an Image

Wang, Z., Yang, J., Jin, H., Shechtman, E., Agarwala, A., Brandt, J., Huang, T. (Oct. 1, 2015)

ACM International Conference on Multimedia (MM'15)

DeepFont: A System for Font Recognition and Similarity

Wang, Z., Yang, J., Jin, H., Brandt, J., Shechtman, E., Agarwala, A., Wang, Z., Song, Y., Hseih, J., Kong, S., Huang, T. (Oct. 1, 2015)

ACM International Conference on Multimedia (MM'15)

LazyFluids – Appearance Transfer for Fluid Animations

Jamriška, O., Fišer, J., Asente, P., Lu, J., Shechtman, E., Sýkora, D. (Aug. 1, 2015)

ACM Transactions on Graphics (Proc. SIGGRAPH'15), 34(4)

Smooth Loops for Unconstrained Video

Sevilla, L., Wulff, J., Sunkavalli, K., Shechtman, E. (Jun. 24, 2015)

Computer Graphics Forum (Proc. of EGSR'15)

Finding Distractors In Images

Fried, O., Shechtman, E., Goldman, D., Finkelstein, A. (Jun. 8, 2015)

IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)

Real-World Font Recognition Using Deep Network and Domain Adaptation

Wang, Z., Yang, J., Jin, H., Shechtman, E., Agarwala, A., Brandt, J., Huang, T. (May. 7, 2015)

ICLR 2015

Synthesis of Complex Image Appearance from Limited Exemplars

Diamanti, O., Paris, S., Barnes, C., Shechtman, E., Sorkine-Hornung, O. (Feb. 1, 2015)

ACM Transactions on Graphics (Proc. TOG'15), 34(2)

Selective Pooling Vector for Fine-Grained Recognition

Chen, G., Yang, J., Jin, H., Shechtman, E., Brandt, J., Han, T. (Jan. 1, 2015)

IEEE Winter Conference on Applications of Computer Vision (WACV'15)

Mirror mirror: crowdsourcing better portraits

Zhu, J., Agarwala, A., Efros, A., Shechtman, E., Wang, J. (Nov. 1, 2014)

ACM Transactions on Graphics (Proc. SIGGRAPH Asia'14)

Moving Portraits

Kemelmacher-Shlizerman, I., Shechtman, E., Seitz, S. (Sep. 1, 2014)

Research Highlight

Communications of the ACM (CACM)

Large-scale visual font recognition

Chen, G., Yang, J., Jin, H., Brandt, J., Shechtman, E., Agarwala, A., Han, T. (Jun. 1, 2014)

IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)

Improving patch-based synthesis by learning patch masks

Kalantari, N., Shechtman, E., Darabi, S., Goldman, D., Sen, P. (May. 1, 2014)

IEEE International Conference on Computational Photography (ICCP)

Automatic Upright Adjustment of Photographs with Robust Camera Calibration

Lee, H., Shechtman, E., Wang, J., Lee, S. (May. 1, 2014)

In IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), May 2014

Deblurring by Example using Dense Correspondence

HaCohen, Y., Shechtman, E., Lischinski, D. (Dec. 3, 2013)

International Conference on Computer Vision (ICCV), Sydney 2013

Patch-based High Dynamic Range Video

Kalantari, N., Shechtman, E., Barnes, C., Darabi, S., Goldman, D., Sen, P. (Nov. 19, 2013)

ACM Transactions on Graphics (Proc. SIGGRAPH Asia'13), 32(5), November 2013

Optimizing Color Consistency in Photo Collections

HaCohen, Y., Shechtman, E., Goldman, D., Lischinski, D. (Jul. 21, 2013)

ACM Transactions on Graphics (Proc. of SIGGRAPH'13), 32(4), July 2013

Learning video saliency from human gaze using candidate selection

Rudoy, D., Goldman, D., Shechtman, E., Zelnik-Manor, L. (Jun. 25, 2013)

Proceedings of IEEE conference on Computer Vision and Pattern Recognition (CVPR), June 2013.

Robust patch-based HDR reconstruction of dynamic scenes

Sen, P., Kalantari, N., Yaesoubi, M., Darabi, S., Goldman, D., Shechtman, E. (Nov. 28, 2012)

ACM Transactions on Graphics (Proc. SIGGRAPH Asia'12), 31(6), November 2012.

Non-parametric texture transfer using MeshMatch

Chen, X., Funkhouser, T., Goldman, D., Shechtman, E. (Nov. 1, 2012)

In the Adobe Technical Report 2012-2.

Image melding: Combining inconsistent images using patch-based synthesis

Darabi, S., Shechtman, E., Barnes, C., Goldman, D., Sen, P. (Aug. 5, 2012)

ACM Transactions on Graphics (Proc. SIGGRAPH'12) , 31(4), August 2012.

Multi-Video Browsing and Summarization

Dale, K., Shechtman, E., Avidan, S., Pfister, H. (Jun. 21, 2012)

In Proc. CVPR Workshop on Large-Scale Video Search and Mining (LSVSM'12) , Providence RI, 2012.

Automatic Upright Adjustment of Photographs

Lee, H., Shechtman, E., Wang, J., Lee, S. (Jun. 18, 2012)

In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR'12), Providence RI, 2012.

Facial Expression Editing in Video Using a Temporally-Smooth Factorization

Yang, F., Bourdev, L., Shechtman, E., Wang, J., Metaxas, D. (Jun. 18, 2012)

In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR'12), Providence RI, 2012

Face Morphing using 3D-Aware Appearance Optimization

Yang, F., Shechtman, E., Wang, J., Bourdev, L., Metaxas, D. (May. 29, 2012)

In Proc. Graphics Interface (GI'12), Toronto, 2012.

Crowdsourcing gaze data collection

Rudoy, D., Goldman, D., Shechtman, E., Zelnik-Manor, L. (Apr. 1, 2012)

In Proc. Collective Intelligence, 2012.

The PatchMatch randomized matching algorithm for image manipulation

Barnes, C., Goldman, D., Shechtman, E., Finkelstein, A. (Nov. 1, 2011)

Research Highlight

Communications of the ACM (CACM)

Exploring Photobios

Kemelmacher-Shlizerman, I., Shechtman, E., Garg, R., Seitz, S. (Aug. 7, 2011)

SIGGRAPH 2011 – International Conference on Computer Graphics and Interactive Techniques , Aug. 7 - 11

Expression Flow for 3D-Aware Face Component Transfer

Yang, F., Wang, J., Shechtman, E., Bourdev, L., Metaxas, D. (Aug. 7, 2011)

SIGGRAPH 2011 – International Conference on Computer Graphics and Interactive Techniques , Aug. 7 - 11

Non-rigid dense correspondence with applications for image enhancement

HaCohen, Y., Shechtman, E., Goldman, D., Lischinski, D. (Aug. 7, 2011)

ACM Transactions on Graphics (Proc. SIGGRAPH) , 30(4), 2011.

Cosaliency: Where people look when comparing images

Jacobs, D., Goldman, D., Shechtman, E. (Oct. 1, 2010)

ACM Symposium on User Interface Software and Technology (UIST) , New York, 2010.

The generalized PatchMatch correspondence algorithm

Barnes, C., Shechtman, E., Goldman, D., Finkelstein, A. (Sep. 1, 2010)

In Proc. European Conference on Computer Vision , Crete, 2010.

Video tapestries with continuous temporal zoom

Barnes, C., Goldman, D., Shechtman, E., Finkelstein, A. (Jul. 2, 2010)

ACM Transactions on Graphics (Proc. SIGGRAPH) , 29(3), 2010.

Being Jon Malkovich

Kemelmacher-Shlizerman, I., Sankar, A., Shechtman, E., Seitz, S. (Feb. 1, 2010)

In Proc. European Conference on Computer Vision , Crete

Regenerative Morphing

Shechtman, E., Rav-Acha, A., Irani, M., Seitz, S. (Feb. 1, 2010)

In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , San-Francisco

PatchMatch: A randomized correspondence algorithm for structural image editing

Barnes, C., Shechtman, E., Finkelstein, A., Goldman, D. (Aug. 2, 2009)

ACM Transactions on Graphics (Proc. SIGGRAPH), 28(3), 2009.

Summarizing Visual Data Using Bidirectional Similarity

Simakov, D., Caspi, Y., Shechtman, E., Irani, M. (Feb. 19, 2008)

In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , Anchorage

In Defense of Nearest-Neighbor Based Image Classification

Boiman, O., Shechtman, E., Irani, M. (Feb. 8, 2008)

IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , Anchorage

Actions as Space-Time Shapes

Gorelick, L., Blank, M., Shechtman, E., Irani, M., Basri, R. (Feb. 1, 2007)

In IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI)

Matching Local Self-Similarities across Images and Videos

Shechtman, E., Irani, M. (Feb. 1, 2007)

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Minneapolis

Space-time behavior based correlation – OR – How to tell if two underlying motion fields are similar without computing them?

Shechtman, E., Irani, M. (Feb. 1, 2007)

In IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) .

Space-time completion of video

Wexler, Y., Shechtman, E., Irani, M. (Feb. 1, 2007)

In IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI)

Space-Time Super-Resolution

Shechtman, E., Caspi, Y., Irani, M. (Apr. 1, 2005)

In IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI)

Actions as Space-Time Shapes

Blank, M., Gorelick, L., Shechtman, E., Irani, M., Basri, R. (Feb. 1, 2005)

(Hemholtz Prize at ICCV'17)

International Conference on Computer Vision (ICCV), Beijing

Space-Time Behavioral Correlation

Shechtman, E., Iranim, M. (Feb. 1, 2005)

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San-Diego

Space-Time Video Completion

Wexler, Y., Shechtman, E., Irani, M. (Feb. 1, 2004)

Best Poster award

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Washington DC.

Increasing Space-Time Resolution in Video

Shechtman, E., Caspi, Y., Michal, I. (Feb. 1, 2002)

Best Paper Prize

European Conference on Computer Vision (ECCV), Copenhagen.