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cs.CV2026
Gaussian Belief Propagation Network for Depth Completion
Jie Tang, Pingping Xie, Jian Li +1
Depth completion aims to predict a dense depth map from a color image with sparse depth measurements. Although deep learning methods have achieved state-of-the-art (SOTA), effectiv…
cs.CV2025
PacTure: Efficient PBR Texture Generation on Packed Views with Visual Autoregressive Models
Fan Fei, Jiajun Tang, Fei-Peng Tian +2
We present PacTure, a novel framework for generating physically-based rendering (PBR) material textures for an untextured 3D mesh from a text description. Existing 2D generation-ba…
cs.CV2024
Bilateral Propagation Network for Depth Completion
Jie Tang, Fei-Peng Tian, Boshi An +2
Depth completion aims to derive a dense depth map from sparse depth measurements with a synchronized color image. Current state-of-the-art (SOTA) methods are predominantly propagat…