activity
20242026
collaborators
Showing cs.CVShow all

7 papers · 1 filter

cs.CV2026

Material Magic Wand: Material-Aware Grouping of 3D Parts in Untextured Meshes

Umangi Jain, Vladimir Kim, Matheus Gadelha +2

We introduce the problem of material-aware part grouping in untextured meshes. Many real-world shapes, such as scales of pinecones or windows of buildings, contain repeated structu…

cs.CV2026

Tri-Prompting: Video Diffusion with Unified Control over Scene, Subject, and Motion

Zhenghong Zhou, Xiaohang Zhan, Zhiqin Chen +8

Recent video diffusion models achieve strong visual quality and temporal coherence, but still lack coordinated control over scene layout, customized subject identity, and camera/su…

cs.CV2026

tttLRM: Test-Time Training for Long Context and Autoregressive 3D Reconstruction

Chen Wang, Hao Tan, Wang Yifan +6

We propose tttLRM, a novel large 3D reconstruction model that leverages a Test-Time Training (TTT) layer to enable long-context, autoregressive 3D reconstruction with linear comput…

cs.CV2026

Drop-In Perceptual Optimization for 3D Gaussian Splatting

Ezgi Ozyilkan, Zhiqi Chen, Oren Rippel +2

Despite their output being ultimately consumed by human viewers, 3D Gaussian Splatting (3DGS) methods often rely on ad-hoc combinations of pixel-level losses, resulting in blurry r…

cs.CV2024

Controllable Shape Modeling with Neural Generalized Cylinder

Xiangyu Zhu, Zhiqin Chen, Ruizhen Hu +1

Neural shape representation, such as neural signed distance field (NSDF), becomes more and more popular in shape modeling as its ability to deal with complex topology and arbitrary…

cs.CV2024

DECOLLAGE: 3D Detailization by Controllable, Localized, and Learned Geometry Enhancement

Qimin Chen, Zhiqin Chen, Vladimir G. Kim +3

We present a 3D modeling method which enables end-users to refine or detailize 3D shapes using machine learning, expanding the capabilities of AI-assisted 3D content creation. Give…

cs.CV2024

Text-guided Controllable Mesh Refinement for Interactive 3D Modeling

Yun-Chun Chen, Selena Ling, Zhiqin Chen +3

We propose a novel technique for adding geometric details to an input coarse 3D mesh guided by a text prompt. Our method is composed of three stages. First, we generate a single-vi…