activity
20232026
most citedFacial Surgery Preview Based on the Orthognathic Treatment Prediction

2 citations · 6 across the 11 of their papers we have counts for

collaborators

11 papers

cs.GR2026

DJM: Compact Base Meshes for Displacement Mapping using Triangle Jacobians

Congyi Zhang, Nicholas Vining, Yanhong Lin +5

Representing complex geometry as a displacement function defined over a coarse base mesh enables compact storage and accelerated rendering. The core challenge in converting detaile…

cs.GR2025

NeuVAS: Neural Implicit Surfaces for Variational Shape Modeling

Pengfei Wang, Qiujie Dong, Fangtian Liang +11

Neural implicit shape representation has drawn significant attention in recent years due to its smoothness, differentiability, and topological flexibility. However, directly modeli…

cs.CV2025

CMD: Controllable Multiview Diffusion for 3D Editing and Progressive Generation

Peng Li, Suizhi Ma, Jialiang Chen +7

Recently, 3D generation methods have shown their powerful ability to automate 3D model creation. However, most 3D generation methods only rely on an input image or a text prompt to…

cs.CV2024★ 2 cited

Facial Surgery Preview Based on the Orthognathic Treatment Prediction

Huijun Han, Congyi Zhang, Lifeng Zhu +6

Orthognathic surgery consultation is essential to help patients understand the changes to their facial appearance after surgery. However, current visualization methods are often in…

cs.GR2024

NESI: Shape Representation via Neural Explicit Surface Intersection

Congyi Zhang, Jinfan Yang, Eric Hedlin +5

Compressed representations of 3D shapes that are compact, accurate, and can be processed efficiently directly in compressed form, are extremely useful for digital media application…

cs.CV2024★ 2 cited

TexPainter: Generative Mesh Texturing with Multi-view Consistency

Hongkun Zhang, Zherong Pan, Congyi Zhang +2

The recent success of pre-trained diffusion models unlocks the possibility of the automatic generation of textures for arbitrary 3D meshes in the wild. However, these models are tr…

cs.GR2024

Region-Aware Color Smudging

Ying Jiang, Pengfei Xu, Congyi Zhang +3

Color smudge operations from digital painting software enable users to create natural shading effects in high-fidelity paintings by interactively mixing colors. To precisely contro…

cs.CV2024

Skull-to-Face: Anatomy-Guided 3D Facial Reconstruction and Editing

Yongqing Liang, Congyi Zhang, Junli Zhao +2

Deducing the 3D face from a skull is a challenging task in forensic science and archaeology. This paper proposes an end-to-end 3D face reconstruction pipeline and an exploration me…

cs.CV2024

On Optimal Sampling for Learning SDF Using MLPs Equipped with Positional Encoding

Guying Lin, Lei Yang, Yuan Liu +6

Neural implicit fields, such as the neural signed distance field (SDF) of a shape, have emerged as a powerful representation for many applications, e.g., encoding a 3D shape and pe…

cs.GR2023★ 2 cited

Neural Parametric Surfaces for Shape Modeling

Lei Yang, Yongqing Liang, Xin Li +6

The recent surge of utilizing deep neural networks for geometric processing and shape modeling has opened up exciting avenues. However, there is a conspicuous lack of research effo…

cs.GR2023

Surface Extraction from Neural Unsigned Distance Fields

Congyi Zhang, Guying Lin, Lei Yang +5

We propose a method, named DualMesh-UDF, to extract a surface from unsigned distance functions (UDFs), encoded by neural networks, or neural UDFs. Neural UDFs are becoming increasi…