36 citations · 53 across the 13 of their papers we have counts for
6 papers · 1 filter
3D-Adapter: Geometry-Consistent Multi-View Diffusion for High-Quality 3D Generation
Hansheng Chen, Bokui Shen, Yulin Liu +7
Multi-view image diffusion models have significantly advanced open-domain 3D object generation. However, most existing models rely on 2D network architectures that lack inherent 3D…
ConDense: Consistent 2D/3D Pre-training for Dense and Sparse Features from Multi-View Images
Xiaoshuai Zhang, Zhicheng Wang, Howard Zhou +5
To advance the state of the art in the creation of 3D foundation models, this paper introduces the ConDense framework for 3D pre-training utilizing existing pre-trained 2D networks…
MeshFormer: High-Quality Mesh Generation with 3D-Guided Reconstruction Model
Minghua Liu, Chong Zeng, Xinyue Wei +9
Open-world 3D reconstruction models have recently garnered significant attention. However, without sufficient 3D inductive bias, existing methods typically entail expensive trainin…
SpaRP: Fast 3D Object Reconstruction and Pose Estimation from Sparse Views
Chao Xu, Ang Li, Linghao Chen +4
Open-world 3D generation has recently attracted considerable attention. While many single-image-to-3D methods have yielded visually appealing outcomes, they often lack sufficient c…
MeshLRM: Large Reconstruction Model for High-Quality Meshes
Xinyue Wei, Kai Zhang, Sai Bi +6
We propose MeshLRM, a novel LRM-based approach that can reconstruct a high-quality mesh from merely four input images in less than one second. Different from previous large reconst…
Generic 3D Diffusion Adapter Using Controlled Multi-View Editing
Hansheng Chen, Ruoxi Shi, Yulin Liu +5
Open-domain 3D object synthesis has been lagging behind image synthesis due to limited data and higher computational complexity. To bridge this gap, recent works have investigated…