Matthew A. Chan

According to our database, Matthew A. Chan authored at least 6 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Coherent 3D Portrait Video Reconstruction via Triplane Fusion.

Shengze Wang, Xueting Li, Chao Liu, Matthew A. Chan, Michael Stengel, Josef B. Spjut, Henry Fuchs, Shalini De Mello, Koki Nagano

CoRR, 2024

What You See is What You GAN: Rendering Every Pixel for High-Fidelity Geometry in 3D GANs.

Alex Trevithick, Matthew A. Chan, Towaki Takikawa, Umar Iqbal, Shalini De Mello, Manmohan Chandraker, Ravi Ramamoorthi, Koki Nagano

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Real-Time Radiance Fields for Single-Image Portrait View Synthesis.

Alex Trevithick, Matthew A. Chan, Michael Stengel, Eric R. Chan, Chao Liu, Zhiding Yu, Sameh Khamis, Manmohan Chandraker, Ravi Ramamoorthi, Koki Nagano

ACM Trans. Graph., August, 2023

AI-Mediated 3D Video Conferencing.

Michael Stengel, Koki Nagano, Chao Liu, Matthew A. Chan, Alex Trevithick, Shalini De Mello, Jonghyun Kim, David Luebke

Proceedings of the ACM SIGGRAPH 2023 Emerging Technologies, 2023

Generative Novel View Synthesis with 3D-Aware Diffusion Models.

Eric R. Chan, Koki Nagano, Matthew A. Chan, Alexander W. Bergman, Jeong Joon Park, Axel Levy, Miika Aittala, Shalini De Mello, Tero Karras, Gordon Wetzstein

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Efficient Geometry-aware 3D Generative Adversarial Networks.

Eric R. Chan, Connor Z. Lin, Matthew A. Chan, Koki Nagano, Boxiao Pan, Shalini De Mello, Orazio Gallo, Leonidas J. Guibas, Jonathan Tremblay, Sameh Khamis, Tero Karras, Gordon Wetzstein

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022