activity
20152025
most citedMatterport3D: Learning from RGB-D Data in Indoor Environments

337 citations · 641 across the 19 of their papers we have counts for

collaborators

31 papers

cs.CV20224 cited

DELTAR: Depth Estimation from a Light-weight ToF Sensor and RGB Image

Yijin Li, Xinyang Liu, Wenqi Dong +5

Light-weight time-of-flight (ToF) depth sensors are small, cheap, low-energy and have been massively deployed on mobile devices for the purposes like autofocus, obstacle detection,…

cs.CV202217 cited

Neural Rendering in a Room: Amodal 3D Understanding and Free-Viewpoint Rendering for the Closed Scene Composed of Pre-Captured Objects

Bangbang Yang, Yinda Zhang, Yijin Li +4

We, as human beings, can understand and picture a familiar scene from arbitrary viewpoints given a single image, whereas this is still a grand challenge for computers. We hereby pr…

cs.CV2022

Density-preserving Deep Point Cloud Compression

Yun He, Xinlin Ren, Danhang Tang +3

Local density of point clouds is crucial for representing local details, but has been overlooked by existing point cloud compression methods. To address this, we propose a novel de…

cs.CV20222 cited

Pixel2Mesh++: 3D Mesh Generation and Refinement from Multi-View Images

Chao Wen, Yinda Zhang, Chenjie Cao +3

We study the problem of shape generation in 3D mesh representation from a small number of color images with or without camera poses. While many previous works learn to hallucinate…

cs.CV2022

H4D: Human 4D Modeling by Learning Neural Compositional Representation

Boyan Jiang, Yinda Zhang, Xingkui Wei +2

Despite the impressive results achieved by deep learning based 3D reconstruction, the techniques of directly learning to model 4D human captures with detailed geometry have been le…

cs.CV2022

Efficient Virtual View Selection for 3D Hand Pose Estimation

Jian Cheng, Yanguang Wan, Dexin Zuo +6

3D hand pose estimation from single depth is a fundamental problem in computer vision, and has wide applications.However, the existing methods still can not achieve satisfactory ha…