1 citations · 1 across the 3 of their papers we have counts for
6 papers · 1 filter
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…
Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video
Yahao Shi, Yang Liu, Yanmin Wu +4
We propose DriveAnyMesh, a method for driving mesh guided by monocular video. Current 4D generation techniques encounter challenges with modern rendering engines. Implicit methods…
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…
GIR: 3D Gaussian Inverse Rendering for Relightable Scene Factorization
Yahao Shi, Yanmin Wu, Chenming Wu +7
This paper presents a 3D Gaussian Inverse Rendering (GIR) method, employing 3D Gaussian representations to effectively factorize the scene into material properties, light, and geom…