activity
20222026
most citedRobust Zero Level-Set Extraction from Unsigned Distance Fields Based on Double Covering

23 citations · 26 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CV2026

SharpNet: Enhancing MLPs to Represent Functions with Controlled Non-differentiability

Hanting Niu, Junkai Deng, Fei Hou +2

Multi-layer perceptrons (MLPs) are a standard tool for learning and function approximation, but they inherently produce globally smooth outputs. Consequently, they struggle to repr…

cs.CV2025

MIND: Material Interface Generation from UDFs for Non-Manifold Surface Reconstruction

Xuhui Chen, Fei Hou, Wencheng Wang +2

Unsigned distance fields (UDFs) are widely used in 3D deep learning due to their ability to represent shapes with arbitrary topology. While prior work has largely focused on learni…

cs.CV2024

DCUDF2: Improving Efficiency and Accuracy in Extracting Zero Level Sets from Unsigned Distance Fields

Xuhui Chen, Fugang Yu, Fei Hou +3

Unsigned distance fields (UDFs) allow for the representation of models with complex topologies, but extracting accurate zero level sets from these fields poses significant challeng…

cs.CV2024

Details Enhancement in Unsigned Distance Field Learning for High-fidelity 3D Surface Reconstruction

Cheng Xu, Fei Hou, Wencheng Wang +3

While Signed Distance Fields (SDF) are well-established for modeling watertight surfaces, Unsigned Distance Fields (UDF) broaden the scope to include open surfaces and models with…

cs.CV2023★ 23 cited

Robust Zero Level-Set Extraction from Unsigned Distance Fields Based on Double Covering

Fei Hou, Xuhui Chen, Wencheng Wang +2

In this paper, we propose a new method, called DoubleCoverUDF, for extracting the zero level-set from unsigned distance fields (UDFs). DoubleCoverUDF takes a learned UDF and a user…

cs.CV2023

Improved Real-time Image Smoothing with Weak Structures Preserved and High-contrast Details Removed

Shengchun Wang, Wencheng Wang, Fei Hou

Image smoothing is by reducing pixel-wise gradients to smooth out details. As existing methods always rely on gradients to determine smoothing manners, it is difficult to distingui…

cs.CV2023★ 1 cited

2S-UDF: A Novel Two-stage UDF Learning Method for Robust Non-watertight Model Reconstruction from Multi-view Images

Junkai Deng, Fei Hou, Xuhui Chen +2

Recently, building on the foundation of neural radiance field, various techniques have emerged to learn unsigned distance fields (UDF) to reconstruct 3D non-watertight models from…

cs.CV2022★ 2 cited

Flexible Portrait Image Editing with Fine-Grained Control

Linlin Liu, Qian Fu, Fei Hou +1

We develop a new method for portrait image editing, which supports fine-grained editing of geometries, colors, lights and shadows using a single neural network model. We adopt a no…