4 papers
Robot Learning from a Physical World Model
Jiageng Mao, Sicheng He, Hao-Ning Wu +9
We introduce PhysWorld, a framework that enables robot learning from video generation through physical world modeling. Recent video generation models can synthesize photorealistic…
GaussianLens: Localized High-Resolution Reconstruction via On-Demand Gaussian Densification
Yijia Weng, Zhicheng Wang, Songyou Peng +3
We perceive our surroundings with an active focus, paying more attention to regions of interest, such as the shelf labels in a grocery store. When it comes to scene reconstruction,…
DepthMamba with Adaptive Fusion
Zelin Meng, Zhichen Wang
Multi-view depth estimation has achieved impressive performance over various benchmarks. However, almost all current multi-view systems rely on given ideal camera poses, which are…
Towards Degradation-Robust Reconstruction in Generalizable NeRF
Chan Ho Park, Ka Leong Cheng, Zhicheng Wang +1
Generalizable Neural Radiance Field (GNeRF) across scenes has been proven to be an effective way to avoid per-scene optimization by representing a scene with deep image features of…