most citedMagic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors

75 citations · 84 across the 7 of their papers we have counts for

collaborators

7 papers

astro-ph.GA2023

Revisiting Galaxy Evolution in Morphology in the COSMOS field (COSMOS-ReGEM):I. Merging Galaxies

Jian Ren, Nan Li, F. S. Liu +3

We revisit the evolution of galaxy morphology in the COSMOS field over the redshift range , using a large and complete sample of 33,605 galaxies with a stellar ma…

cs.CV202375 cited

Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors

Guocheng Qian, Jinjie Mai, Abdullah Hamdi +8

We present Magic123, a two-stage coarse-to-fine approach for high-quality, textured 3D meshes generation from a single unposed image in the wild using both2D and 3D priors. In the…

eess.SP2023

Two-Bit RIS-Aided Communications at 3.5GHz: Some Insights from the Measurement Results Under Multiple Practical Scenes

Shun Zhang, Haoran Sun, Runze Yu +6

In this paper, we propose a two-bit reconfigurable intelligent surface (RIS)-aided communication system, which mainly consists of a two-bit RIS, a transmitter and a receiver. A cor…

cs.CV2023

3D generation on ImageNet

Ivan Skorokhodov, Aliaksandr Siarohin, Yinghao Xu +4

Existing 3D-from-2D generators are typically designed for well-curated single-category datasets, where all the objects have (approximately) the same scale, 3D location, and orienta…

cs.CV2023

Unsupervised Volumetric Animation

Aliaksandr Siarohin, Willi Menapace, Ivan Skorokhodov +5

We propose a novel approach for unsupervised 3D animation of non-rigid deformable objects. Our method learns the 3D structure and dynamics of objects solely from single-view RGB vi…

cs.CV20227 cited

RA-Depth: Resolution Adaptive Self-Supervised Monocular Depth Estimation

Mu He, Le Hui, Yikai Bian +3

Existing self-supervised monocular depth estimation methods can get rid of expensive annotations and achieve promising results. However, these methods suffer from severe performanc…