1 citations · 1 across the 8 of their papers we have counts for
8 papers
GarmentPainter: Efficient 3D Garment Texture Synthesis with Character-Guided Diffusion Model
Jinbo Wu, Xiaobo Gao, Xing Liu +2
Generating high-fidelity, 3D-consistent garment textures remains a challenging problem due to the inherent complexities of garment structures and the stringent requirement for deta…
GenHOI: Towards Object-Consistent Hand-Object Interaction with Temporally Balanced and Spatially Selective Object Injection
Xuan Huang, Mochu Xiang, Zhelun Shen +9
Hand-Object Interaction (HOI) remains a core challenge in digital human video synthesis, where models must generate physically plausible contact and preserve object identity across…
MVHOI: Bridge Multi-view Condition to Complex Human-Object Interaction Video Reenactment via 3D Foundation Model
Jinguang Tong, Jinbo Wu, Kaisiyuan Wang +12
Human-Object Interaction (HOI) video reenactment aims to transfer the interaction dynamics of a source video to a novel target object while preserving realistic hand-object coordin…
Auto-Regressively Generating Multi-View Consistent Images
JiaKui Hu, Yuxiao Yang, Jialun Liu +3
Generating multi-view images from human instructions is crucial for 3D content creation. The primary challenges involve maintaining consistency across multiple views and effectivel…
TexGaussian: Generating High-quality PBR Material via Octree-based 3D Gaussian Splatting
Bojun Xiong, Jialun Liu, Jiakui Hu +6
Physically Based Rendering (PBR) materials play a crucial role in modern graphics, enabling photorealistic rendering across diverse environment maps. Developing an effective and ef…
TexRO: Generating Delicate Textures of 3D Models by Recursive Optimization
Jinbo Wu, Xing Liu, Chenming Wu +7
This paper presents TexRO, a novel method for generating delicate textures of a known 3D mesh by optimizing its UV texture. The key contributions are two-fold. We propose an optima…
GVA: Reconstructing Vivid 3D Gaussian Avatars from Monocular Videos
Xinqi Liu, Chenming Wu, Jialun Liu +6
In this paper, we present a novel method that facilitates the creation of vivid 3D Gaussian avatars from monocular video inputs (GVA). Our innovation lies in addressing the intrica…
HD-Fusion: Detailed Text-to-3D Generation Leveraging Multiple Noise Estimation
Jinbo Wu, Xiaobo Gao, Xing Liu +5
In this paper, we study Text-to-3D content generation leveraging 2D diffusion priors to enhance the quality and detail of the generated 3D models. Recent progress (Magic3D) in text…