Search Results for author: Wang Yifan

Found 17 papers, 7 papers with code

PhysAvatar: Learning the Physics of Dressed 3D Avatars from Visual Observations

no code implementations5 Apr 2024 Yang Zheng, Qingqing Zhao, Guandao Yang, Wang Yifan, Donglai Xiang, Florian Dubost, Dmitry Lagun, Thabo Beeler, Federico Tombari, Leonidas Guibas, Gordon Wetzstein

This marks a significant advancement towards modeling photorealistic digital humans using physically based inverse rendering with physics in the loop.

Inverse Rendering

Gaussian Shell Maps for Efficient 3D Human Generation

1 code implementation CVPR 2024 Rameen Abdal, Wang Yifan, Zifan Shi, Yinghao Xu, Ryan Po, Zhengfei Kuang, Qifeng Chen, Dit-yan Yeung, Gordon Wetzstein

Instead of rasterizing the shells directly, we sample 3D Gaussians on the shells whose attributes are encoded in the texture features.

Pose-to-Motion: Cross-Domain Motion Retargeting with Pose Prior

no code implementations31 Oct 2023 Qingqing Zhao, Peizhuo Li, Wang Yifan, Olga Sorkine-Hornung, Gordon Wetzstein

Our experiments show that our method effectively combines the motion features of the source character with the pose features of the target character, and performs robustly with small or noisy pose data sets, ranging from a few artist-created poses to noisy poses estimated directly from images.

motion retargeting Motion Synthesis

State of the Art on Diffusion Models for Visual Computing

no code implementations11 Oct 2023 Ryan Po, Wang Yifan, Vladislav Golyanik, Kfir Aberman, Jonathan T. Barron, Amit H. Bermano, Eric Ryan Chan, Tali Dekel, Aleksander Holynski, Angjoo Kanazawa, C. Karen Liu, Lingjie Liu, Ben Mildenhall, Matthias Nießner, Björn Ommer, Christian Theobalt, Peter Wonka, Gordon Wetzstein

The field of visual computing is rapidly advancing due to the emergence of generative artificial intelligence (AI), which unlocks unprecedented capabilities for the generation, editing, and reconstruction of images, videos, and 3D scenes.

Efficient 3D Articulated Human Generation with Layered Surface Volumes

no code implementations11 Jul 2023 Yinghao Xu, Wang Yifan, Alexander W. Bergman, Menglei Chai, Bolei Zhou, Gordon Wetzstein

These layers are rendered using alpha compositing with fast differentiable rasterization, and they can be interpreted as a volumetric representation that allocates its capacity to a manifold of finite thickness around the template.

Articulated 3D Head Avatar Generation using Text-to-Image Diffusion Models

no code implementations10 Jul 2023 Alexander W. Bergman, Wang Yifan, Gordon Wetzstein

Recent work on text-guided 3D object generation has shown great promise in addressing these needs.

DehazeNeRF: Multiple Image Haze Removal and 3D Shape Reconstruction using Neural Radiance Fields

no code implementations20 Mar 2023 Wei-Ting Chen, Wang Yifan, Sy-Yen Kuo, Gordon Wetzstein

Neural radiance fields (NeRFs) have demonstrated state-of-the-art performance for 3D computer vision tasks, including novel view synthesis and 3D shape reconstruction.

3D Shape Reconstruction Novel View Synthesis

PointAvatar: Deformable Point-based Head Avatars from Videos

1 code implementation CVPR 2023 Yufeng Zheng, Wang Yifan, Gordon Wetzstein, Michael J. Black, Otmar Hilliges

The ability to create realistic, animatable and relightable head avatars from casual video sequences would open up wide ranging applications in communication and entertainment.

Generative Neural Articulated Radiance Fields

no code implementations28 Jun 2022 Alexander W. Bergman, Petr Kellnhofer, Wang Yifan, Eric R. Chan, David B. Lindell, Gordon Wetzstein

Unsupervised learning of 3D-aware generative adversarial networks (GANs) using only collections of single-view 2D photographs has very recently made much progress.

Input-level Inductive Biases for 3D Reconstruction

no code implementations CVPR 2022 Wang Yifan, Carl Doersch, Relja Arandjelović, João Carreira, Andrew Zisserman

Much of the recent progress in 3D vision has been driven by the development of specialized architectures that incorporate geometrical inductive biases.

3D Reconstruction Depth Estimation

Neural Cages for Detail-Preserving 3D Deformations

1 code implementation CVPR 2020 Wang Yifan, Noam Aigerman, Vladimir G. Kim, Siddhartha Chaudhuri, Olga Sorkine-Hornung

The goal of our method is to warp a source shape to match the general structure of a target shape, while preserving the surface details of the source.

Differentiable Surface Splatting for Point-based Geometry Processing

1 code implementation10 Jun 2019 Wang Yifan, Felice Serena, Shihao Wu, Cengiz Öztireli, Olga Sorkine-Hornung

We propose Differentiable Surface Splatting (DSS), a high-fidelity differentiable renderer for point clouds.

Denoising Inverse Rendering

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