Matt Fisher

Senior Research Scientist

San Francisco

Matt’s research focuses on applying machine learning for automating complex tasks like 3D scene design, playing video games, and image+video editing.  Recently he has worked on designing representations for 3D geometry that can be generated by deep networks, and applying generative and adversarial image networks to create new tools for artists.  His PhD was under Pat Hanrahan at Stanford University and his undergraduate was at Caltech under Mathieu Desbrun and Peter Schroeder.

His personal website with a complete publication list is here.

His old Stanford website is here.


Personalized Residuals for Concept-Driven Text-to-Image Generation

Ham, C., Fisher, M., Hays, J., Kolkin, N., Liu, Y., Zhang, R., Hinz, T. (Jun. 19, 2024)

CVPR 2024

VecFusion: Vector Font Generation with Diffusion

Thamizharasan, V., Liu, D., Agarwal, S., Fisher, M., Gharbi, M., Wang, O., Jacobson, A., Kalogerakis, E. (Jun. 19, 2024)

CVPR Highlight

CVPR 2024

Learning Continuous 3D Words for Text-to-Image Generation

Cheng, T., Gadelha, M., Groueix, T., Fisher, M., Měch, R., Markham, A., Trigoni, N. (Jun. 19, 2024)

CVPR 2024

ASSET: Autoregressive Semantic Scene Editing with Transformers at High Resolutions

Liu, D., Shetty, S., Hinz, T., Fisher, M., Zhang, R., Park, T., Kalogerakis, E. (Aug. 1, 2022)

ACM Transactions on Graphics (TOG)

APES: Articulated Part Extraction from Sprite Sheets

Xu, Z., Fisher, M., Zhou, Y., Aneja, D., Dudhat, R., Yi, L., Kalogerakis, E. (Jun. 20, 2022)

IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR)

GLASS: Geometric Latent Augmentation for Shape Spaces

Muralikrishnan, S., Chaudhuri, S., Aigerman, N., Kim, V., Fisher, M., Mitra, N. (Jun. 19, 2022)


CharacterGAN: Few-Shot Keypoint Character Animation and Reposing

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


DECOR-GAN: 3D Shape Detailization by Conditional Refinement

Chen, Z., Kim, V., Fisher, M., Aigerman, N., Zhang, H., Chaudhuri, S. (Jun. 19, 2021)

CVPR (oral)

Improved Techniques for Training Single-Image GANs

Hinz, T., Fisher, M., Wang, O., Wermter, S. (Jan. 5, 2021)

IEEE Winter Conference on Applications of Computer Vision (WACV)

COALESCE: Component Assembly by Learning to Synthesize Connections

Yin, K., Chen, Z., Chaudhuri, S., Fisher, M., Kim, V., Zhang, H. (Nov. 25, 2020)

3DV (oral)

Modeling Artistic Workflows for Image Generation and Editing

Tseng, H., Fisher, M., Lu, J., Li, Y., Kim, V., Yang, M., Lu, J. (Aug. 23, 2020)

16th European conference on computer vision (ECCV2020)

Deep Parametric Shape Predictions using Distance Fields

Smirnov, D., Fisher, M., Kim, V., Zhang, R., Solomon, J. (Jun. 1, 2020)

IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Learning Elementary Structures for 3D Shape Generation and Matching

Deprelle, T., Groueix, T., Fisher, M., Kim, V., Russell, B., Aubry, M. (Dec. 1, 2019)

Conference on Neural Information Processing Systems Description

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)

BAE-NET: Branched Autoencoder for Shape Co-Segmentation

Chen, Z., Yin, K., Fisher, M., Chaudhuri, S., Zhang, H. (Oct. 27, 2019)


Shape Unicode: A Unified Shape Representation

Muralikrishnan, S., Kim, V., Fisher, M., Chaudhuri, S. (Jul. 31, 2019)

Computer Vision and Pattern Recognition (CVPR 2019)

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)

3D-CODED : 3D Correspondences by Deep Deformation

Groueix, T., Fisher, M., Kim, V., Russell, B., Aubry, M. (Sep. 16, 2018)


Multi-Content GAN for Few-Shot Font Style Transfer

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


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

A Perceptual Measure for Deep Single Image Camera Calibration

Hold-Geoffroy, Y., Sunkavalli, K., Eisenmann, J., Fisher, M., Gambaretto, E., Hadap, S., Lalonde, J. (Jun. 18, 2018)

IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018