6 citations · 7 across the 4 of their papers we have counts for
4 papers
MoE3D: A Mixture-of-Experts Module for 3D Reconstruction
Zichen Wang, Ang Cao, Liam J. Wang +1
We propose a simple yet effective approach to enhance the performance of feed-forward 3D reconstruction models. Existing methods often struggle near depth discontinuities, where st…
EucliDreamer: Fast and High-Quality Texturing for 3D Models with Depth-Conditioned Stable Diffusion
Cindy Le, Congrui Hetang, Chendi Lin +2
We present EucliDreamer, a simple and effective method to generate textures for 3D models given text prompts and meshes. The texture is parametrized as an implicit function on the…
DreamGaussian4D: Generative 4D Gaussian Splatting
Jiawei Ren, Liang Pan, Jiaxiang Tang +4
4D content generation has achieved remarkable progress recently. However, existing methods suffer from long optimization times, a lack of motion controllability, and a low quality…
EucliDreamer: Fast and High-Quality Texturing for 3D Models with Stable Diffusion Depth
Cindy Le, Congrui Hetang, Chendi Lin +2
This paper presents a novel method to generate textures for 3D models given text prompts and 3D meshes. Additional depth information is taken into account to perform the Score Dist…