activity
20182023
most citedBiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation

124 citations · 475 across the 20 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

cs.CV2023

Synthesizing Physically Plausible Human Motions in 3D Scenes

Liang Pan, Jingbo Wang, Buzhen Huang +4

We present a physics-based character control framework for synthesizing human-scene interactions. Recent advances adopt physics simulation to mitigate artifacts produced by data-dr…

cs.CV2023

DNA-Rendering: A Diverse Neural Actor Repository for High-Fidelity Human-centric Rendering

Wei Cheng, Ruixiang Chen, Wanqi Yin +18

Realistic human-centric rendering plays a key role in both computer vision and computer graphics. Rapid progress has been made in the algorithm aspect over the years, yet existing…

cs.CV2023★ 3 cited

Interactive Character Control with Auto-Regressive Motion Diffusion Models

Yi Shi, Jingbo Wang, Xuekun Jiang +3

Real-time character control is an essential component for interactive experiences, with a broad range of applications, including physics simulations, video games, and virtual reali…

cs.CV2023★ 9 cited

Interactive Segment Anything NeRF with Feature Imitation

Xiaokang Chen, Jiaxiang Tang, Diwen Wan +2

This paper investigates the potential of enhancing Neural Radiance Fields (NeRF) with semantics to expand their applications. Although NeRF has been proven useful in real-world app…

cs.CV2023★ 3 cited

Task-Oriented Human-Object Interactions Generation with Implicit Neural Representations

Quanzhou Li, Jingbo Wang, Chen Change Loy +1

Digital human motion synthesis is a vibrant research field with applications in movies, AR/VR, and video games. Whereas methods were proposed to generate natural and realistic huma…