Consistent View Synthesis with Pose-Guided Diffusion Models

Author:

Tseng Hung-Yu1,Li Qinbo1,Kim Changil1,Alsisan Suhib1,Huang Jia-Bin1,Kopf Johannes1

Affiliation:

1. Meta

Publisher

IEEE

Reference78 articles.

1. Multi-view to Novel View: Synthesizing Novel Views With Self-learned Confidence

2. Imagen video: High definition video generation with diffusion models;ho;ArXiv Preprint,2022

3. Learning to Synthesize a 4D RGBD Light Field from a Single Image

4. Gans trained by a two time-scale update rule converge to a local nash equilibrium;heusel;NeurIPS,2017

5. Multi-view 3d models from single images with a convolutional network;tatarchenko;ECCV,2016

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1. Text-image conditioned diffusion for consistent text-to-3D generation;Computer Aided Geometric Design;2024-06

2. Consistent-1-to-3: Consistent Image to 3D View Synthesis via Geometry-aware Diffusion Models;2024 International Conference on 3D Vision (3DV);2024-03-18

3. Expressive Text-to-Image Generation with Rich Text;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

4. Long-Term Photometric Consistent Novel View Synthesis with Diffusion Models;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

5. Generative Novel View Synthesis with 3D-Aware Diffusion Models;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

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