activity
20202025
most citedNeural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces

46 citations · 112 across the 16 of their papers we have counts for

collaborators
Showing 2024Show all

2 papers · 1 filter

cs.CV2024

Fast Learning of Signed Distance Functions from Noisy Point Clouds via Noise to Noise Mapping

Junsheng Zhou, Baorui Ma, Yu-Shen Liu +1

Learning signed distance functions (SDFs) from point clouds is an important task in 3D computer vision. However, without ground truth signed distances, point normals or clean point…

cs.CV2024

UDiFF: Generating Conditional Unsigned Distance Fields with Optimal Wavelet Diffusion

Junsheng Zhou, Weiqi Zhang, Baorui Ma +3

Diffusion models have shown remarkable results for image generation, editing and inpainting. Recent works explore diffusion models for 3D shape generation with neural implicit func…