Fangcheng Zhong

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 24

Top Topics

Bayesian Reinforcement Learning

High Dynamic Range

Depth Perception

Top Venues

ACM Trans. Graph.

ECCV Workshops (3)

Publications

Jing Yang, Kyle Fogarty, Fangcheng Zhong, A. Cengiz Öztireli
SYM3D: Learning Symmetric Triplanes for Better 3D-Awareness of GANs. CoRR (2024)
Tianhao Wu, Jing Yang, Zhilin Guo, Jingyi Wan, Fangcheng Zhong, Cengiz Öztireli
Gaussian Head & Shoulders: High Fidelity Neural Upper Body Avatars with Anchor Gaussian Guided Texture Warping. CoRR (2024)
Fangcheng Zhong, Kyle Fogarty, Param Hanji, Tianhao Wu, Alejandro Sztrajman, Andrew Spielberg, Andrea Tagliasacchi, Petra Bosilj, Cengiz Öztireli
Neural Fields with Hard Constraints of Arbitrary Differential Order. NeurIPS (2023)
Chenliang Zhou, Fangcheng Zhong, Param Hanji, Zhilin Guo, Kyle Fogarty, Alejandro Sztrajman, Hongyun Gao, Cengiz Öztireli
FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud Generation. CoRR (2023)
Fangcheng Zhong, Kyle Fogarty, Param Hanji, Tianhao Wu, Alejandro Sztrajman, Andrew Spielberg, Andrea Tagliasacchi, Petra Bosilj, Cengiz Öztireli
Neural Fields with Hard Constraints of Arbitrary Differential Order. CoRR (2023)
Andrew Spielberg, Fangcheng Zhong, Konstantinos Rematas, Krishna Murthy Jatavallabhula, Cengiz Öztireli, Tzu-Mao Li, Derek Nowrouzezahrai
Differentiable Visual Computing for Inverse Problems and Machine Learning. CoRR (2023)
Fazilet Gokbudak, Alejandro Sztrajman, Chenliang Zhou, Fangcheng Zhong, Rafal Mantiuk, Cengiz Öztireli
Hypernetworks for Generalizable BRDF Estimation. CoRR (2023)
Tianhao Wu, Hanxue Liang, Fangcheng Zhong, Gernot Riegler, Shimon Vainer, A. Cengiz Öztireli
αSurf: Implicit Surface Reconstruction for Semi-Transparent and Thin Objects with Decoupled Geometry and Opacity. CoRR (2023)
Wenzhao Li, Tianhao Wu, Fangcheng Zhong, A. Cengiz Öztireli
ARF-Plus: Controlling Perceptual Factors in Artistic Radiance Fields for 3D Scene Stylization. CoRR (2023)
Chenliang Zhou, Fangcheng Zhong, Cengiz Öztireli
CLIP-PAE: Projection-Augmentation Embedding to Extract Relevant Features for a Disentangled, Interpretable and Controllable Text-Guided Face Manipulation. SIGGRAPH (Conference Paper Track) (2023)
Andrew Spielberg, Fangcheng Zhong, Konstantinos Rematas, Krishna Murthy Jatavallabhula, Cengiz Öztireli, Tzu-Mao Li, Derek Nowrouzezahrai
Differentiable visual computing for inverse problems and machine learning. Nat. Mac. Intell. 5 (11) (2023)
Tianhao Wu, Fangcheng Zhong, Andrea Tagliasacchi, Forrester Cole, Cengiz Öztireli
NeRF: Self-Supervised Decoupling of Dynamic and Static Objects from a Monocular Video. CoRR (2022)
Tianhao Wu, Fangcheng Zhong, Andrea Tagliasacchi, Forrester Cole, Cengiz Öztireli
D^2NeRF: Self-Supervised Decoupling of Dynamic and Static Objects from a Monocular Video. NeurIPS (2022)
Klaus Greff, Francois Belletti, Lucas Beyer, Carl Doersch, Yilun Du, Daniel Duckworth, David J. Fleet, Dan Gnanapragasam, Florian Golemo, Charles Herrmann, Thomas Kipf, Abhijit Kundu, Dmitry Lagun, Issam H. Laradji, Hsueh-Ti Derek Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, A. Cengiz Öztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi
Kubric: A scalable dataset generator. CVPR (2022)
Klaus Greff, Francois Belletti, Lucas Beyer, Carl Doersch, Yilun Du, Daniel Duckworth, David J. Fleet, Dan Gnanapragasam, Florian Golemo, Charles Herrmann, Thomas Kipf, Abhijit Kundu, Dmitry Lagun, Issam H. Laradji, Hsueh-Ti Derek Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, Cengiz Öztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi
Kubric: A scalable dataset generator. CoRR (2022)
Chenliang Zhou, Fangcheng Zhong, A. Cengiz Öztireli
CLIP-PAE: Projection-Augmentation Embedding to Extract Relevant Features for a Disentangled, Interpretable, and Controllable Text-Guided Image Manipulation. CoRR (2022)
Krzysztof Wolski, Fangcheng Zhong, Karol Myszkowski, Rafal K. Mantiuk
Dark stereo: improving depth perception under low luminance. ACM Trans. Graph. 41 (4) (2022)
Fangcheng Zhong, Akshay Jindal, Ali Özgür Yöntem, Param Hanji, Simon J. Watt, Rafal K. Mantiuk
Reproducing reality with a high-dynamic-range multi-focal stereo display. ACM Trans. Graph. 40 (6) (2021)
Param Hanji, Fangcheng Zhong, Rafal K. Mantiuk
Noise-Aware Merging of High Dynamic Range Image Stacks without Camera Calibration. CoRR (2020)
Xin Zhou, Weiping Wang, Tao Wang, Meng Li, Fangcheng Zhong
Online Planning for Multiagent Situational Information Gathering in the Markov Environment. IEEE Syst. J. 14 (2) (2020)
Param Hanji, Fangcheng Zhong, Rafal K. Mantiuk
Noise-Aware Merging of High Dynamic Range Image Stacks Without Camera Calibration. ECCV Workshops (3) (2020)
Fangcheng Zhong, George Alex Koulieris, George Drettakis, Martin S. Banks, Mathieu Chambe, Frédo Durand, Rafal K. Mantiuk
DiCE: dichoptic contrast enhancement for VR and stereo displays. ACM Trans. Graph. 38 (6) (2019)
Fangcheng Zhong, George Alex Koulieris, George Drettakis, Martin S. Banks, Mathieu Chambe, Frédo Durand, Rafal Mantiuk
DiCE: dichoptic contrast enhancement for binocular displays. SIGGRAPH Posters (2019)
Xin Zhou, Weiping Wang, Tao Wang, Yonglin Lei, Fangcheng Zhong
Bayesian Reinforcement Learning for Multi-Robot Decentralized Patrolling in Uncertain Environments. IEEE Trans. Veh. Technol. 68 (12) (2019)