77 citations · 129 across the 8 of their papers we have counts for
8 papers
NeuManifold: Neural Watertight Manifold Reconstruction with Efficient and High-Quality Rendering Support
Xinyue Wei, Fanbo Xiang, Sai Bi +4
We present a method for generating high-quality watertight manifold meshes from multi-view input images. Existing volumetric rendering methods are robust in optimization but tend t…
ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills
Jiayuan Gu, Fanbo Xiang, Xuanlin Li +12
Generalizable manipulation skills, which can be composed to tackle long-horizon and complex daily chores, are one of the cornerstones of Embodied AI. However, existing benchmarks,…
Factor Fields: A Unified Framework for Neural Fields and Beyond
Anpei Chen, Zexiang Xu, Xinyue Wei +3
We present Factor Fields, a novel framework for modeling and representing signals. Factor Fields decomposes a signal into a product of factors, each represented by a classical or n…
Approximate Convex Decomposition for 3D Meshes with Collision-Aware Concavity and Tree Search
Xinyue Wei, Minghua Liu, Zhan Ling +1
Approximate convex decomposition aims to decompose a 3D shape into a set of almost convex components, whose convex hulls can then be used to represent the input shape. It thus enab…
Nuisance-Label Supervision: Robustness Improvement by Free Labels
Xinyue Wei, Weichao Qiu, Yi Zhang +2
In this paper, we present a Nuisance-label Supervision (NLS) module, which can make models more robust to nuisance factor variations. Nuisance factors are those irrelevant to a tas…
End-to-End Adaptive Monte Carlo Denoising and Super-Resolution
Xinyue Wei, Haozhi Huang, Yujin Shi +3
The classic Monte Carlo path tracing can achieve high quality rendering at the cost of heavy computation. Recent works make use of deep neural networks to accelerate this process,…