activity
20182023
most citedLookinGood: Enhancing Performance Capture with Real-time Neural Re-Rendering

16 citations · 29 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023★ 6 cited

Spectral Graphormer: Spectral Graph-based Transformer for Egocentric Two-Hand Reconstruction using Multi-View Color Images

Tze Ho Elden Tse, Franziska Mueller, Zhengyang Shen +8

We propose a novel transformer-based framework that reconstructs two high fidelity hands from multi-view RGB images. Unlike existing hand pose estimation methods, where one typical…

cs.CV2022

VoLux-GAN: A Generative Model for 3D Face Synthesis with HDRI Relighting

Feitong Tan, Sean Fanello, Abhimitra Meka +6

We propose VoLux-GAN, a generative framework to synthesize 3D-aware faces with convincing relighting. Our main contribution is a volumetric HDRI relighting method that can efficien…

eess.IV2020★ 5 cited

Deep Implicit Volume Compression

Danhang Tang, Saurabh Singh, Philip A. Chou +11

We describe a novel approach for compressing truncated signed distance fields (TSDF) stored in 3D voxel grids, and their corresponding textures. To compress the TSDF, our method re…

cs.CV2019★ 2 cited

Volumetric Capture of Humans with a Single RGBD Camera via Semi-Parametric Learning

Rohit Pandey, Anastasia Tkach, Shuoran Yang +9

Volumetric (4D) performance capture is fundamental for AR/VR content generation. Whereas previous work in 4D performance capture has shown impressive results in studio settings, th…

cs.CV2018★ 16 cited

LookinGood: Enhancing Performance Capture with Real-time Neural Re-Rendering

Ricardo Martin-Brualla, Rohit Pandey, Shuoran Yang +14

Motivated by augmented and virtual reality applications such as telepresence, there has been a recent focus in real-time performance capture of humans under motion. However, given…