iNVS: Repurposing Diffusion Inpainters for Novel View Synthesis

Author:

Kant Yash1ORCID,Siarohin Aliaksandr2ORCID,Vasilkovsky Michael3ORCID,Guler Riza Alp3ORCID,Ren Jian2ORCID,Tulyakov Sergey2ORCID,Gilitschenski Igor4ORCID

Affiliation:

1. University of Toronto, Canada and Snap Inc., Canada

2. Snap Inc., United States of America

3. Snap Inc., United Kingdom

4. University of Toronto, Canada

Publisher

ACM

Reference76 articles.

1. Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields

2. Shariq Farooq Bhat, Reiner Birkl, Diana Wofk, Peter Wonka, and Matthias Müller. 2023. Zoedepth: Zero-shot transfer by combining relative and metric depth. arXiv preprint arXiv:2302.12288 (2023).

3. Multi-Garment Net: Learning to Dress 3D People From Images

4. Lucy Chai, Richard Tucker, Zhengqi Li, Phillip Isola, and Noah Snavely. 2023. Persistent Nature: A Generative Model of Unbounded 3D Worlds. In CVPR.

5. Eric R Chan, Koki Nagano, Matthew A Chan, Alexander W Bergman, Jeong Joon Park, Axel Levy, Miika Aittala, Shalini De Mello, Tero Karras, and Gordon Wetzstein. 2023. Generative novel view synthesis with 3d-aware diffusion models. In Proceedings of the IEEE International Conference on Computer Vision.

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