1.3k citations · 2.6k across the 63 of their papers we have counts for
11 papers · 1 filter
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,…
LoRD: Local 4D Implicit Representation for High-Fidelity Dynamic Human Modeling
Boyan Jiang, Xinlin Ren, Mingsong Dou +3
Recent progress in 4D implicit representation focuses on globally controlling the shape and motion with low dimensional latent vectors, which is prone to missing surface details an…
PRIF: Primary Ray-based Implicit Function
Brandon Yushan Feng, Yinda Zhang, Danhang Tang +2
We introduce a new implicit shape representation called Primary Ray-based Implicit Function (PRIF). In contrast to most existing approaches based on the signed distance function (S…
NeuMesh: Learning Disentangled Neural Mesh-based Implicit Field for Geometry and Texture Editing
Bangbang Yang, Chong Bao, Junyi Zeng +4
Very recently neural implicit rendering techniques have been rapidly evolved and shown great advantages in novel view synthesis and 3D scene reconstruction. However, existing neura…
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…
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…
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…
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…
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…
OmniSyn: Synthesizing 360 Videos with Wide-baseline Panoramas
David Li, Yinda Zhang, Christian Häne +3
Immersive maps such as Google Street View and Bing Streetside provide true-to-life views with a massive collection of panoramas. However, these panoramas are only available at spar…
VoLux-GAN: A Generative Model for 3D Face Synthesis with HDRI Relighting
Feitong Tan, Sean Fanello, Abhimitra Meka +6
We propose VoLux-GAN, a generative framework to synthesize 3D-aware faces with convincing relighting. Our main contribution is a volumetric HDRI relighting method that can efficien…