1 citations · 3 across the 6 of their papers we have counts for
6 papers
UltraTex: Unleashing 2K Multi-View Diffusion for 3D Texturing
Yibo Zhang, Ze Yuan, Nan Cao +4
High-quality texture generation is essential for creating realistic and production-ready 3D assets. Recent multi-view diffusion methods have shown promising results for image-guide…
TexVerse: A Universe of 3D Objects with High-Resolution Textures
Yibo Zhang, Li Zhang, Rui Ma +1
We introduce TexVerse, a large-scale 3D dataset featuring high-resolution textures. While recent advances in large-scale 3D datasets have enhanced high-resolution geometry generati…
OmniStyle2: Learning to Stylize by Learning to Destylize
Ye Wang, Zili Yi, Yibo Zhang +6
This paper introduces a scalable paradigm for supervised style transfer by inverting the problem: instead of learning to stylize directly, we learn to destylize, reducing stylistic…
DecoupledGaussian: Object-Scene Decoupling for Physics-Based Interaction
Miaowei Wang, Yibo Zhang, Rui Ma +3
We present DecoupledGaussian, a novel system that decouples static objects from their contacted surfaces captured in-the-wild videos, a key prerequisite for realistic Newtonian-bas…
Diff3DS: Generating View-Consistent 3D Sketch via Differentiable Curve Rendering
Yibo Zhang, Lihong Wang, Changqing Zou +2
3D sketches are widely used for visually representing the 3D shape and structure of objects or scenes. However, the creation of 3D sketch often requires users to possess profession…
3D-SceneDreamer: Text-Driven 3D-Consistent Scene Generation
Frank Zhang, Yibo Zhang, Quan Zheng +5
Text-driven 3D scene generation techniques have made rapid progress in recent years. Their success is mainly attributed to using existing generative models to iteratively perform i…