72 citations · 83 across the 10 of their papers we have counts for
Showing 2023Show all
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cs.CV2023★ 8 cited
ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation
Peng Wang, Yichun Shi
We introduce "ImageDream," an innovative image-prompt, multi-view diffusion model for 3D object generation. ImageDream stands out for its ability to produce 3D models of higher qua…
cs.CV2023★ 1 cited
Consistent-1-to-3: Consistent Image to 3D View Synthesis via Geometry-aware Diffusion Models
Jianglong Ye, Peng Wang, Kejie Li +2
Zero-shot novel view synthesis (NVS) from a single image is an essential problem in 3D object understanding. While recent approaches that leverage pre-trained generative models can…
cs.CV2023★ 72 cited
MVDream: Multi-view Diffusion for 3D Generation
Yichun Shi, Peng Wang, Jianglong Ye +3
We introduce MVDream, a diffusion model that is able to generate consistent multi-view images from a given text prompt. Learning from both 2D and 3D data, a multi-view diffusion mo…