An algorithm for the construction of intrinsic delaunay triangulations with applications to digital geometry processing. - Matthew Fisher; Boris Springborn; Peter Schröder; Alexander I. Bobenko (Computing, 2007)

Design of tangent vector fields. - Matthew Fisher; Peter Schröder; Mathieu Desbrun; Hugues Hoppe (ACM Trans. Graph., 2007)

DiagSplit: parallel, crack-free, adaptive tessellation for micropolygon rendering. - Matthew Fisher; Kayvon Fatahalian; Solomon Boulos; Kurt Akeley; William R. Mark; Pat Hanrahan (ACM Trans. Graph., 2009)

Context-based search for 3D models. - Matthew Fisher; Pat Hanrahan (ACM Trans. Graph., 2010)

Predictive Routing in Mobile Ad-Hoc Networks. - Jeffrey Hemmes; Matthew Fisher; Kenneth M. Hopkinson (NGMAST, 2011)

Characterizing structural relationships in scenes using graph kernels. - Matthew Fisher; Manolis Savva; Pat Hanrahan (ACM Trans. Graph., 2011)

Example-based synthesis of 3D object arrangements. - Matthew Fisher; Daniel Ritchie; Manolis Savva; Thomas A. Funkhouser; Pat Hanrahan (ACM Trans. Graph., 2012)

The Design, Deployment and Evaluation of Situated Display-Based Systems to Support Coordination and Community. - Keith Cheverst; Faisal Taher; Matthew Fisher; Daniel Fitton; Nick Taylor 002 (Ubiquitous Display Environments, 2012)

Probabilistic color-by-numbers: suggesting pattern colorizations using factor graphs. - Sharon Lin; Daniel Ritchie; Matthew Fisher; Pat Hanrahan (ACM Trans. Graph., 2013)

Synthesis of tiled patterns using factor graphs. - Yi-Ting Yeh; Katherine Breeden; Lingfeng Yang; Matthew Fisher; Pat Hanrahan (ACM Trans. Graph., 2013)

Data-driven tools for scene modeling. - Matthew Fisher (2013)

Combining Inertial Navigation and ICP for Real-time 3D Surface Reconstruction. - Matthias Nießner; Angela Dai; Matthew Fisher (Eurographics (Short Papers), 2014)

First-class runtime generation of high-performance types using exotypes. - Zachary DeVito; Daniel Ritchie; Matthew Fisher; Alex Aiken; Pat Hanrahan (PLDI, 2014)

Real-time non-rigid reconstruction using an RGB-D camera. - Michael Zollhöfer; Matthias Nießner; Shahram Izadi; Christoph Rhemann; Christopher Zach; Matthew Fisher; Chenglei Wu; Andrew W. Fitzgibbon; Charles T. Loop; Christian Theobalt; Marc Stamminger (ACM Trans. Graph., 2014)

Ebb: A DSL for Physical Simluation on CPUs and GPUs. - Gilbert Louis Bernstein; Chinmayee Shah; Crystal Lemire; Zachary DeVito; Matthew Fisher; Philip Alexander Levis; Pat Hanrahan (CoRR, 2015)

Activity-centric scene synthesis for functional 3D scene modeling. - Matthew Fisher; Manolis Savva; Yangyan Li; Pat Hanrahan; Matthias Nießner (ACM Trans. Graph., 2015)

Real-Time Rendering Techniques with Hardware Tessellation. - Matthias Nießner; Benjamin Keinert; Matthew Fisher; Marc Stamminger; Charles T. Loop; Henry Schäfer (Comput. Graph. Forum, 2016)

The Curse of Expertise: When More Knowledge Leads to Miscalibrated Explanatory Insight. - Matthew Fisher; Frank C. Keil (Cogn. Sci., 2016)

3DMatch: Learning the Matching of Local 3D Geometry in Range Scans. - Andy Zeng 001; Shuran Song; Matthias Nießner; Matthew Fisher; Jianxiong Xiao (CoRR, 2016)

Ebb: A DSL for Physical Simulation on CPUs and GPUs. - Gilbert Louis Bernstein; Chinmayee Shah; Crystal Lemire; Zachary DeVito; Matthew Fisher; Philip Alexander Levis; Pat Hanrahan (ACM Trans. Graph., 2016)

PiGraphs: learning interaction snapshots from observations. - Manolis Savva; Angel X. Chang; Pat Hanrahan; Matthew Fisher; Matthias Nießner (ACM Trans. Graph., 2016)

3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions. - Andy Zeng 001; Shuran Song; Matthias Nießner; Matthew Fisher; Jianxiong Xiao; Thomas A. Funkhouser (CVPR, 2017)

The Influence of Social Interaction on Intuitions of Objectivity and Subjectivity. - Matthew Fisher; Joshua Knobe; Brent Strickland; Frank C. Keil (Cogn. Sci., 2017)

LayerBuilder: Layer Decomposition for Interactive Image and Video Color Editing. - Sharon Lin; Matthew Fisher; Angela Dai; Pat Hanrahan (CoRR, 2017)

Opt: A Domain Specific Language for Non-Linear Least Squares Optimization in Graphics and Imaging. - Zachary DeVito; Michael Mara; Michael Zollhöfer; Gilbert Bernstein; Jonathan Ragan-Kelley; Christian Theobalt; Pat Hanrahan; Matthew Fisher; Matthias Nießner (ACM Trans. Graph., 2017)

Multi-Content GAN for Few-Shot Font Style Transfer. - Samaneh Azadi; Matthew Fisher; Vladimir G. Kim; Zhaowen Wang; Eli Shechtman; Trevor Darrell (CVPR, 2018)

A Papier-Mâché Approach to Learning 3D Surface Generation. - Thibault Groueix; Matthew Fisher; Vladimir G. Kim; Bryan C. Russell; Mathieu Aubry (CVPR, 2018)

A Perceptual Measure for Deep Single Image Camera Calibration. - Yannick Hold-Geoffroy; Kalyan Sunkavalli; Jonathan Eisenmann; Matthew Fisher; Emiliano Gambaretto; Sunil Hadap; Jean-François Lalonde (CVPR, 2018)

3D-CODED: 3D Correspondences by Deep Deformation. - Thibault Groueix; Matthew Fisher; Vladimir G. Kim; Bryan C. Russell; Mathieu Aubry (ECCV (2), 2018)

AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation. - Thibault Groueix; Matthew Fisher; Vladimir G. Kim; Bryan C. Russell; Mathieu Aubry (CoRR, 2018)

Shape correspondences from learnt template-based parametrization. - Thibault Groueix; Matthew Fisher; Vladimir G. Kim; Bryan C. Russell; Mathieu Aubry (CoRR, 2018)

Language-driven synthesis of 3D scenes from scene databases. - Rui Ma 011; Akshay Gadi Patil; Matthew Fisher; Manyi Li; Sören Pirk; Binh-Son Hua; Sai-Kit Yeung; Xin Tong 001; Leonidas J. Guibas; Hao Zhang 002 (ACM Trans. Graph., 2018)

Shape Correspondence with Isometric and Non-Isometric Deformations. - Roberto M. Dyke; C. Stride; Yu-Kun Lai; Paul L. Rosin; Mathieu Aubry; Amit Boyarski; Alexander M. Bronstein; Michael M. Bronstein; Daniel Cremers; Matthew Fisher; Thibault Groueix; Daoliang Guo; et al. (3DOR@Eurographics, 2019)

Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction. - Chen-Hsuan Lin 001; Oliver Wang; Bryan C. Russell; Eli Shechtman; Vladimir G. Kim; Matthew Fisher; Simon Lucey (CVPR, 2019)

Shape Unicode: A Unified Shape Representation. - Sanjeev Muralikrishnan; Vladimir G. Kim; Matthew Fisher; Siddhartha Chaudhuri (CVPR, 2019)

Finding Layers Using Hover Visualizations. - Evan Shimizu; Matthew Fisher; Sylvain Paris; Kayvon Fatahalian (Graphics Interface, 2019)

BAE-NET: Branched Autoencoder for Shape Co-Segmentation. - Zhiqin Chen; Kangxue Yin; Matthew Fisher; Siddhartha Chaudhuri; Hao Zhang 002 (ICCV, 2019)

UprightNet: Geometry-Aware Camera Orientation Estimation From Single Images. - Wenqi Xian; Zhengqi Li; Noah Snavely; Matthew Fisher; Jonathan Eisenmann; Eli Shechtman (ICCV, 2019)

Learning elementary structures for 3D shape generation and matching. - Theo Deprelle; Thibault Groueix; Matthew Fisher; Vladimir G. Kim; Bryan C. Russell; Mathieu Aubry (NeurIPS, 2019)

Skinning vector graphics with GANs. - Ankit Phogat; Matthew Fisher; Danny M. Kaufman; Vineet Batra (SIGGRAPH Posters, 2019)

Unsupervised cycle-consistent deformation for shape matching. - Thibault Groueix; Matthew Fisher; Vladimir G. Kim; Bryan C. Russell; Mathieu Aubry (Comput. Graph. Forum, 2019)

Exploratory Stage Lighting Design using Visual Objectives. - Evan Shimizu; Sylvain Paris; Matthew Fisher; Ersin Yumer; Kayvon Fatahalian (Comput. Graph. Forum, 2019)

COALESCE: Component Assembly by Learning to Synthesize Connections. - Kangxue Yin; Zhiqin Chen; Siddhartha Chaudhuri; Matthew Fisher; Vladimir G. Kim; Hao (Richard) Zhang (3DV, 2020)

A Locally Adaptive Bayesian Cubature Method. - Matthew Fisher; Chris J. Oates; Catherine E. Powell; Aretha L. Teckentrup (AISTATS, 2020)

Deep Parametric Shape Predictions Using Distance Fields. - Dmitriy Smirnov 001; Matthew Fisher; Vladimir G. Kim; Richard Zhang 001; Justin Solomon 001 (CVPR, 2020)

Coupling Explicit and Implicit Surface Representations for Generative 3D Modeling. - Omid Poursaeed; Matthew Fisher; Noam Aigerman; Vladimir G. Kim (ECCV (10), 2020)

Modeling Artistic Workflows for Image Generation and Editing. - Hung-Yu Tseng; Matthew Fisher; Jingwan Lu; Yijun Li 001; Vladimir G. Kim; Ming-Hsuan Yang 001 (ECCV (18), 2020)

Concurrent Editing of Vector Graphics using Similarity. - Ankit Phogat; Vineet Batra; Matthew Fisher (SIGGRAPH Posters, 2020)

Design Adjectives: A Framework for Interactive Model-Guided Exploration of Parameterized Design Spaces. - Evan Shimizu; Matthew Fisher; Sylvain Paris; James McCann; Kayvon Fatahalian (UIST, 2020)

Discovering pattern structure using differentiable compositing. - Pradyumna Reddy; Paul Guerrero 001; Matthew Fisher; Wilmot Li; Niloy J. Mitra (ACM Trans. Graph., 2020)

Measure Transport with Kernel Stein Discrepancy. - Matthew Fisher; Tui Nolan; Matthew M. Graham; Dennis Prangle; Chris J. Oates (AISTATS, 2021)

DECOR-GAN: 3D Shape Detailization by Conditional Refinement. - Zhiqin Chen; Vladimir G. Kim; Matthew Fisher; Noam Aigerman; Hao Zhang 002; Siddhartha Chaudhuri (CVPR, 2021)

LayoutGMN: Neural Graph Matching for Structural Layout Similarity. - Akshay Gadi Patil; Manyi Li; Matthew Fisher; Manolis Savva; Hao Zhang 002 (CVPR, 2021)

Automatic Hierarchical Arrangement of Vector Designs. - Matthew Fisher; Vineet Agarwal; Tarun Beri (Eurographics (Short Papers), 2021)

Exploring Sketch-based Character Design Guided by Automatic Colorization. - Rawan Alghofaili; Matthew Fisher; Richard Zhang 001; Michal Lukác; Lap-Fai Yu (Graphics Interface, 2021)

Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognition. - James Hong; Matthew Fisher; Michaël Gharbi; Kayvon Fatahalian (ICCV, 2021)

Neural Strokes: Stylized Line Drawing of 3D Shapes. - Difan Liu; Matthew Fisher; Aaron Hertzmann; Evangelos Kalogerakis (ICCV, 2021)

3D Reconstruction By Parameterized Surface Mapping. - Pierre-Alain Langlois; Matthew Fisher; Oliver Wang; Vladimir G. Kim; Alexandre Boulch; Renaud Marlet; Bryan C. Russell (ICIP, 2021)

A Multi-Implicit Neural Representation for Fonts. - Pradyumna Reddy; Zhifei Zhang; Zhaowen Wang; Matthew Fisher; Hailin Jin; Niloy J. Mitra (NeurIPS, 2021)

MarioNette: Self-Supervised Sprite Learning. - Dmitriy Smirnov 001; Michaël Gharbi; Matthew Fisher; Vitor Guizilini; Alexei A. Efros; Justin M. Solomon (NeurIPS, 2021)

Improved Techniques for Training Single-Image GANs. - Tobias Hinz; Matthew Fisher; Oliver Wang; Stefan Wermter (WACV, 2021)

Font Completion and Manipulation by Cycling Between Multi-Modality Representations. - Ye Yuan 012; Wuyang Chen 001; Zhaowen Wang; Matthew Fisher; Zhifei Zhang; Zhangyang Wang; Hailin Jin (CoRR, 2021)

Interactive Monte Carlo denoising using affinity of neural features. - Mustafa Isik; Krishna Mullia; Matthew Fisher; Jonathan Eisenmann; Michaël Gharbi (ACM Trans. Graph., 2021)

GLASS: Geometric Latent Augmentation for Shape Spaces. - Sanjeev Muralikrishnan; Siddhartha Chaudhuri; Noam Aigerman; Vladimir G. Kim; Matthew Fisher; Niloy J. Mitra (CVPR, 2022)

APES: Articulated Part Extraction from Sprite Sheets. - Zhan Xu; Matthew Fisher; Yang Zhou 009; Deepali Aneja; Rushikesh Dudhat; Li Yi 001; Evangelos Kalogerakis (CVPR, 2022)

Spotting Temporally Precise, Fine-Grained Events in Video. - James Hong; Haotian Zhang 004; Michaël Gharbi; Matthew Fisher; Kayvon Fatahalian (ECCV (35), 2022)

Share with Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency. - Tom Monnier; Matthew Fisher; Alexei A. Efros; Mathieu Aubry (ECCV (1), 2022)

CharacterGAN: Few-Shot Keypoint Character Animation and Reposing. - Tobias Hinz; Matthew Fisher; Oliver Wang; Eli Shechtman; Stefan Wermter (WACV, 2022)

ASSET: autoregressive semantic scene editing with transformers at high resolutions. - Difan Liu; Sandesh Shetty; Tobias Hinz; Matthew Fisher; Richard Zhang 001; Taesung Park; Evangelos Kalogerakis (ACM Trans. Graph., 2022)

RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation. - Titas Anciukevicius; Zexiang Xu; Matthew Fisher; Paul Henderson; Hakan Bilen; Niloy J. Mitra; Paul Guerrero 001 (CVPR, 2023)

DualVector: Unsupervised Vector Font Synthesis with Dual-Part Representation. - Ying-Tian Liu; Zhifei Zhang; Yuan-Chen Guo; Matthew Fisher; Zhaowen Wang; Song-Hai Zhang (CVPR, 2023)

Unsupervised 3D Shape Reconstruction by Part Retrieval and Assembly. - Xianghao Xu; Paul Guerrero 001; Matthew Fisher; Siddhartha Chaudhuri; Daniel Ritchie (CVPR, 2023)

Gradient-Free Kernel Stein Discrepancy. - Matthew Fisher; Chris J. Oates (NeurIPS, 2023)

Explorable Mesh Deformation Subspaces from Unstructured 3D Generative Models. - Arman Maesumi; Paul Guerrero 001; Noam Aigerman; Vladimir G. Kim; Matthew Fisher; Siddhartha Chaudhuri; Daniel Ritchie (SIGGRAPH Asia, 2023)

Explorable Mesh Deformation Subspaces from Unstructured Generative Models. - Arman Maesumi; Paul Guerrero 001; Vladimir G. Kim; Matthew Fisher; Siddhartha Chaudhuri; Noam Aigerman; Daniel Ritchie (CoRR, 2023)

Segmentation-Based Parametric Painting. - Manuel Ladron de Guevara; Matthew Fisher; Aaron Hertzmann (CoRR, 2023)

Discontinuity-Aware 2D Neural Fields. - Yash Belhe; Michaël Gharbi; Matthew Fisher; Iliyan Georgiev; Ravi Ramamoorthi; Tzu-Mao Li (ACM Trans. Graph., 2023)

Learning Subject-Aware Cropping by Outpainting Professional Photos. - James Hong; Lu Yuan; Michaël Gharbi; Matthew Fisher; Kayvon Fatahalian (AAAI, 2024)

How do video content creation goals impact which concepts people prioritize for generating B-roll imagery? - Holly Huey; Mackenzie Leake; Deepali Aneja; Matthew Fisher; Judith E. Fan (Creativity & Cognition, 2024)

Learning Continuous 3D Words for Text-to-Image Generation. - Ta Ying Cheng; Matheus Gadelha; Thibault Groueix; Matthew Fisher; Radomír Mech; Andrew Markham; Niki Trigoni (CVPR, 2024)

Personalized Residuals for Concept-Driven Text-to-Image Generation. - Cusuh Ham; Matthew Fisher; James Hays; Nicholas I. Kolkin; Yuchen Liu 002; Richard Zhang 001; Tobias Hinz (CVPR, 2024)

VecFusion: Vector Font Generation with Diffusion. - Vikas Thamizharasan; Difan Liu; Shantanu Agarwal; Matthew Fisher; Michaël Gharbi; Oliver Wang; Alec Jacobson; Evangelos Kalogerakis (CVPR, 2024)

NIVeL: Neural Implicit Vector Layers for Text-to-Vector Generation. - Vikas Thamizharasan; Difan Liu; Matthew Fisher; Nanxuan Zhao; Evangelos Kalogerakis; Michal Lukác (CVPR, 2024)

Temporal Residual Jacobians for Rig-Free Motion Transfer. - Sanjeev Muralikrishnan; Niladri Shekhar Dutt; Siddhartha Chaudhuri; Noam Aigerman; Vladimir G. Kim; Matthew Fisher; Niloy J. Mitra (ECCV (58), 2024)

LogoMotion: Visually Grounded Code Generation for Content-Aware Animation. - Vivian Liu; Rubaiat Habib Kazi; Li-Yi Wei; Matthew Fisher; Timothy Langlois; Seth Walker; Lydia B. Chilton (CoRR, 2024)

DMesh++: An Efficient Differentiable Mesh for Complex Shapes. - Sanghyun Son 003; Matheus Gadelha; Yang Zhou 019; Matthew Fisher; Zexiang Xu; Yi-Ling Qiao; Ming C. Lin; Yi Zhou 023 (CoRR, 2024)

Advances in Data-Driven Analysis and Synthesis of 3D Indoor Scenes. - Akshay Gadi Patil; Supriya Gadi Patil; Manyi Li; Matthew Fisher; Manolis Savva; Hao Zhang 002 (Comput. Graph. Forum, 2024)

Region-Aware Simplification and Stylization of 3D Line Drawings. - Vivien Nguyen; Matthew Fisher; Aaron Hertzmann; Szymon Rusinkiewicz (Comput. Graph. Forum, 2024)

One Noise to Rule Them All: Learning a Unified Model of Spatially-Varying Noise Patterns. - Arman Maesumi; Dylan Hu; Krishi Saripalli; Vladimir G. Kim; Matthew Fisher; Sören Pirk; Daniel Ritchie (ACM Trans. Graph., 2024)

Deep Sketch Vectorization via Implicit Surface Extraction. - Chuan Yan; Yong Li; Deepali Aneja; Matthew Fisher; Edgar Simo-Serra; Yotam I. Gingold (ACM Trans. Graph., 2024)

LogoMotion: Visually-Grounded Code Synthesis for Creating and Editing Animation. - Vivian Liu; Rubaiat Habib Kazi; Li-Yi Wei; Matthew Fisher; Timothy Langlois; Seth Walker; Lydia B. Chilton (CHI, 2025)

Pattern Analogies: Learning to Perform Programmatic Image Edits by Analogy. - Aditya Ganeshan; Thibault Groueix; Paul Guerrero 001; Radomír Mech; Matthew Fisher; Daniel Ritchie (CVPR, 2025)

ShapeShifter: 3D Variations Using Multiscale and Sparse Point-Voxel Diffusion. - Nissim Maruani; Wang Yifan 001; Matthew Fisher; Pierre Alliez; Mathieu Desbrun (CVPR, 2025)

Image Vectorization via Gradient Reconstruction. - Souymodip Chakraborty; Vineet Batra; Ankit Phogat; Vishwas Jain; Jaswant Singh Ranawat; Sumit Dhingra; Kevin Wampler; Matthew Fisher; Michal Lukác (Comput. Graph. Forum, 2025)

How to Train Your Dragon: Automatic Diffusion-Based Rigging for Characters with Diverse Topologies. - Zeqi Gu; Difan Liu; Timothy Langlois; Matthew Fisher; Abe Davis (Comput. Graph. Forum, 2025)

2D Neural Fields with Learned Discontinuities. - Chenxi Liu 004; Siqi Wang; Matthew Fisher; Deepali Aneja; Alec Jacobson (Comput. Graph. Forum, 2025)

Mean-Shift Distillation for Diffusion Mode Seeking. - Vikas Thamizharasan; Nikitas Chatzis; Iliyan Georgiev; Matthew Fisher; Difan Liu; Nanxuan Zhao; Evangelos Kalogerakis; Michal Lukác (CoRR, 2025)