activity
20192026
most citedNeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wild

52 citations · 70 across the 17 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

cs.CV2023★ 6 cited

SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM

Nikhil Keetha, Jay Karhade, Krishna Murthy Jatavallabhula +4

Dense simultaneous localization and mapping (SLAM) is crucial for robotics and augmented reality applications. However, current methods are often hampered by the non-volumetric or…

cs.CV2023

Reconstructing Animatable Categories from Videos

Gengshan Yang, Chaoyang Wang, N Dinesh Reddy +1

Building animatable 3D models is challenging due to the need for 3D scans, laborious registration, and manual rigging, which are difficult to scale to arbitrary categories. Recentl…

cs.RO2023

SLoMo: A General System for Legged Robot Motion Imitation from Casual Videos

John Z. Zhang, Shuo Yang, Gengshan Yang +3

We present SLoMo: a first-of-its-kind framework for transferring skilled motions from casually captured "in the wild" video footage of humans and animals to legged robots. SLoMo wo…

cs.CV2023★ 1 cited

Total-Recon: Deformable Scene Reconstruction for Embodied View Synthesis

Chonghyuk Song, Gengshan Yang, Kangle Deng +2

We explore the task of embodied view synthesis from monocular videos of deformable scenes. Given a minute-long RGBD video of people interacting with their pets, we render the scene…

cs.CV2023

3D-aware Conditional Image Synthesis

Kangle Deng, Gengshan Yang, Deva Ramanan +1

We propose pix2pix3D, a 3D-aware conditional generative model for controllable photorealistic image synthesis. Given a 2D label map, such as a segmentation or edge map, our model l…