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By harnessing the potent generative capabilities of pre-trained large video diffusion models, we propose NVS-Solver, a new novel view synthesis (NVS) paradigm that operates \textit{without} the need for training.
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Puneet Goel, Stergios I Roumeliotis, and Gaurav S Sukhatme · 1999
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Deep unsupervised learning using nonequilibrium thermodynamics
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli · 2015
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Johannes L Schonberger and Jan-Michael Frahm · 2016
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Tinghui Zhou, Shubham Tulsiani, Weilun Sun, Jitendra Malik, and Alexei A Efros · 2016
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
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Arno Knapitsch, Jaesik Park, Qian-Yi Zhou, and Vladlen Koltun · 2017
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A survey of structure from motion*
Onur Özyeşil, Vladislav Voroninski, Ronen Basri, and Amit Singer · 2017
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Transformation-grounded image generation network for novel 3d view synthesis
Eunbyung Park, Jimei Yang, Ersin Yumer, Duygu Ceylan, and Alexander C Berg · 2017
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Extreme view synthesis
Inchang Choi, Orazio Gallo, Alejandro Troccoli, Min H Kim, and Jan Kautz · 2019
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Generative modeling by estimating gradients of the data distribution
Yang Song and Stefano Ermon · 2019
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Interacting particle solutions of fokker–planck equations through gradient–log–density estimation
Dimitra Maoutsa, Sebastian Reich, and Manfred Opper · 2020
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Gernot Riegler and Vladlen Koltun · 2020
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Pose-warping for view synthesis / DIBR, 2020
Nagabhushan Somraj · 2020
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Denoising diffusion implicit models
Jiaming Song, Chenlin Meng, and Stefano Ermon · 2020
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Improved techniques for training score-based generative models
Yang Song and Stefano Ermon · 2020
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State of the art on neural rendering
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Mip-nerf: A multiscale representation for anti-aliasing neural radiance fields
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Diffusion models beat gans on image synthesis
Prafulla Dhariwal and Alexander Nichol · 2021
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Nerf-vae: A geometry aware 3d scene generative model
Adam R Kosiorek, Heiko Strathmann, Daniel Zoran, Pol Moreno, Rosalia Schneider, Sona Mokrá, and Danilo Jimenez Rezende · 2021
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Nerf in the wild: Neural radiance fields for unconstrained photo collections
Ricardo Martin-Brualla, Noha Radwan, Mehdi SM Sajjadi, Jonathan T Barron, Alexey Dosovitskiy, and Daniel Duckworth · 2021
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Nerf: Representing scenes as neural radiance fields for view synthesis
Ben Mildenhall, Pratul P Srinivasan, Matthew Tancik, Jonathan T Barron, Ravi Ramamoorthi, and Ren Ng · 2021
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D-nerf: Neural radiance fields for dynamic scenes
Albert Pumarola, Enric Corona, Gerard Pons-Moll, and Francesc Moreno-Noguer · 2021
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Stable view synthesis
Gernot Riegler and Vladlen Koltun · 2021
3d gaussian splatting for real-time radiance field rendering
Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, and George Drettakis · 2023
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Text2video-zero: Text-to-image diffusion models are zero-shot video generators
Levon Khachatryan, Andranik Movsisyan, Vahram Tadevosyan, Roberto Henschel, Zhangyang Wang, Shant Navasardyan, and Humphrey Shi · 2023
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Renderable neural radiance map for visual navigation
Obin Kwon, Jeongho Park, and Songhwai Oh · 2023
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Conditional image-to-video generation with latent flow diffusion models
Haomiao Ni, Changhao Shi, Kai Li, Sharon X Huang, and Martin Renqiang Min · 2023
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Dinov2: Learning robust visual features without supervision
Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, et al · 2023
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Geometry-free view synthesis: Transformers and no 3d priors, 2021
Robin Rombach, Patrick Esser, and Björn Ommer · 2021
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Non-rigid neural radiance fields: Reconstruction and novel view synthesis of a dynamic scene from monocular video
Edgar Tretschk, Ayush Tewari, Vladislav Golyanik, Michael Zollhöfer, Christoph Lassner, and Christian Theobalt · 2021
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Ners: Neural reflectance surfaces for sparse-view 3d reconstruction in the wild
Jason Zhang, Gengshan Yang, Shubham Tulsiani, and Deva Ramanan · 2021
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Vision-only robot navigation in a neural radiance world
Michal Adamkiewicz, Timothy Chen, Adam Caccavale, Rachel Gardner, Preston Culbertson, Jeannette Bohg, and Mac Schwager · 2022
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Video diffusion models
Jonathan Ho, Tim Salimans, Alexey Gritsenko, William Chan, Mohammad Norouzi, and David J Fleet · 2022
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Riemannian diffusion models
Chin-Wei Huang, Milad Aghajohari, Joey Bose, Prakash Panangaden, and Aaron C Courville · 2022
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Consistent view synthesis with pose-guided diffusion models
Hung-Yu Tseng, Qinbo Li, Changil Kim, Suhib Alsisan, Jia-Bin Huang, and Johannes Kopf · 2023
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Novel view synthesis with diffusion models
Daniel Watson, William Chan, Ricardo Martin Brualla, Jonathan Ho, Andrea Tagliasacchi, and Mohammad Norouzi · 2023
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Tune-a-video: One-shot tuning of image diffusion models for text-to-video generation
Jay Zhangjie Wu, Yixiao Ge, Xintao Wang, Stan Weixian Lei, Yuchao Gu, Yufei Shi, Wynne Hsu, Ying Shan, Xiaohu Qie, and Mike Zheng Shou · 2023
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3d-aware image generation using 2d diffusion models
Jianfeng Xiang, Jiaolong Yang, Binbin Huang, and Xin Tong · 2023
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Sparsegs: Real-time 360 { \{ \ \backslash deg } \} sparse view synthesis using gaussian splatting
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Learning a locally unified 3d point cloud for view synthesis
Meng You, Mantang Guo, Xianqiang Lyu, Hui Liu, and Junhui Hou · 2023
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Long-term photometric consistent novel view synthesis with diffusion models
Jason J Yu, Fereshteh Forghani, Konstantinos G Derpanis, and Marcus A Brubaker · 2023
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Deep equilibrium diffusion restoration with parallel sampling
Jiezhang Cao, Yue Shi, Kai Zhang, Yulun Zhang, Radu Timofte, and Luc Van Gool · 2024
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Zeronvs: Zero-shot 360-degree view synthesis from a single image
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Decoupling dynamic monocular videos for dynamic view synthesis
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Text2nerf: Text-driven 3d scene generation with neural radiance fields
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Dpm-solver-v3: Improved diffusion ode solver with empirical model statistics
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Sparse3d: Distilling multiview-consistent diffusion for object reconstruction from sparse views
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