most citedZero123++: a Single Image to Consistent Multi-view Diffusion Base Model

36 citations · 47 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2024

EasyHeC++: Fully Automatic Hand-Eye Calibration with Pretrained Image Models

Zhengdong Hong, Kangfu Zheng, Linghao Chen

Hand-eye calibration plays a fundamental role in robotics by directly influencing the efficiency of critical operations such as manipulation and grasping. In this work, we present…

cs.CV2024★ 2 cited

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…

cs.CV2024

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…

cs.CV2023

Robo360: A 3D Omnispective Multi-Material Robotic Manipulation Dataset

Litian Liang, Liuyu Bian, Caiwei Xiao +6

Building robots that can automate labor-intensive tasks has long been the core motivation behind the advancements in computer vision and the robotics community. Recent interest in…

cs.CV2023★ 9 cited

One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion

Minghua Liu, Ruoxi Shi, Linghao Chen +7

Recent advancements in open-world 3D object generation have been remarkable, with image-to-3D methods offering superior fine-grained control over their text-to-3D counterparts. How…

cs.CV2023★ 36 cited

Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model

Ruoxi Shi, Hansheng Chen, Zhuoyang Zhang +6

We report Zero123++, an image-conditioned diffusion model for generating 3D-consistent multi-view images from a single input view. To take full advantage of pretrained 2D generativ…