Get 3D object shape and new view from one image by geometry constraints with Consistent-1-to-3
Get 3D object shape and new view from one image by geometry constraints with Consistent-1-to-3
Consistent-1-to-3: Consistent Image to 3D View Synthesis via Geometry-aware Diffusion Models
arXiv paper abstract https://arxiv.org/abs/2310.03020
arXiv PDF paper https://arxiv.org/pdf/2310.03020.pdf
Project page https://jianglongye.com/consistent123
Zero-shot novel view synthesis (NVS) from a single image is an essential problem in 3D object understanding ... While ... generative models can synthesize ... novel views ... they still struggle to maintain 3D consistency across different views.
... present Consistent-1-to-3, which is a generative framework ... mitigate this issue ... decompose the NVS task into two stages: (i) transforming observed regions to a novel view, and (ii) hallucinating unseen regions.
... design a scene representation transformer and view-conditioned diffusion model for performing these two stages respectively.
... to enforce 3D consistency, ... propose to employ epipolor-guided attention to incorporate geometry constraints, and multi-view attention to better aggregate multi-view information.
... design a hierarchy generation paradigm to generate long sequences of consistent views, allowing a full 360 observation of the provided object image.
... demonstrate the effectiveness of the proposed mechanisms against state-of-the-art approaches ...
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