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Recent work in Neural Fields (NFs) learn 3D representations from class-specific single view image collections.
A brief description of natural neighbour interpolation
Robin Sibson · 1981
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Eigenfaces for recognition
Matthew Turk and Alex Pentland · 1991
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Adam: A method for stochastic optimization
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Universal correspondence network
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Deep residual learning for image recognition
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Learning implicit fields for generative shape modeling
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A style-based generator architecture for generative adversarial networks
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Joint-task self-supervised learning for temporal correspondence
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Texture fields: Learning texture representations in function space
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Pifu: Pixel-aligned implicit function for high-resolution clothed human digitization
Shunsuke Saito, Zeng Huang, Ryota Natsume, Shigeo Morishima, Angjoo Kanazawa, and Hao Li · 2019
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Stargan v2: Diverse image synthesis for multiple domains
Yunjey Choi, Youngjung Uh, Jaejun Yoo, and Jung-Woo Ha · 2020
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Leveraging 2d data to learn textured 3d mesh generation
Paul Henderson, Vagia Tsiminaki, and Christoph H Lampert · 2020
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Dynamic facial asset and rig generation from a single scan
Jiaman Li, Zhengfei Kuang, Yajie Zhao, Mingming He, Karl Bladin, and Hao Li · 2020
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Learning implicit functions for topology-varying dense 3d shape correspondence
Feng Liu and Xiaoming Liu · 2020
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Implicit neural representations with periodic activation functions
Vincent Sitzmann, Julien Martel, Alexander Bergman, David Lindell, and Gordon Wetzstein · 2020
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Nerf++: Analyzing and improving neural radiance fields
Kai Zhang, Gernot Riegler, Noah Snavely, and Vladlen Koltun · 2020
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Mip-nerf: A multiscale representation for anti-aliasing neural radiance fields
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View generalization for single image textured 3d models
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pi-gan: Periodic implicit generative adversarial networks for 3d-aware image synthesis
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Deformed implicit field: Modeling 3d shapes with learned dense correspondence
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3d gan inversion for controllable portrait image animation
Connor Z Lin, David B Lindell, Eric R Chan, and Gordon Wetzstein · 2022
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Learning smooth neural functions via lipschitz regularization
Hsueh-Ti Derek Liu, Francis Williams, Alec Jacobson, Sanja Fidler, and Or Litany · 2022
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Coordgan: Self-supervised dense correspondences emerge from gans
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Point-e: A system for generating 3d point clouds from complex prompts
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Regnerf: Regularizing neural radiance fields for view synthesis from sparse inputs
Michael Niemeyer, Jonathan T Barron, Ben Mildenhall, Mehdi SM Sajjadi, Andreas Geiger, and Noha Radwan · 2022
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Jiatao Gu, Lingjie Liu, Peng Wang, and Christian Theobalt · 2021
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Alias-free generative adversarial networks
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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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Learning generative models of textured 3d meshes from real-world images
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Nerv: Neural reflectance and visibility fields for relighting and view synthesis
Pratul P Srinivasan, Boyang Deng, Xiuming Zhang, Matthew Tancik, Ben Mildenhall, and Jonathan T Barron · 2021
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Neutex: Neural texture mapping for volumetric neural rendering
Fanbo Xiang, Zexiang Xu, Milos Hasan, Yannick Hold-Geoffroy, Kalyan Sunkavalli, and Hao Su · 2021
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Rethinking self-supervised correspondence learning: A video frame-level similarity perspective
Jiarui Xu and Xiaolong Wang · 2021
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Lolnerf: Learn from one look
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Attention beats concatenation for conditioning neural fields
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Pivotal tuning for latent-based editing of real images
Daniel Roich, Ron Mokady, Amit H Bermano, and Daniel Cohen-Or · 2022
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Epigraf: Rethinking training of 3d gans
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Ide-3d: Interactive disentangled editing for high-resolution 3d-aware portrait synthesis
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Explicitly controllable 3d-aware portrait generation
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Novel view synthesis with diffusion models
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Learning contrastive representation for semantic correspondence
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Neumesh: Learning disentangled neural mesh-based implicit field for geometry and texture editing
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Lion: Latent point diffusion models for 3d shape generation
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Generative multiplane images: Making a 2d gan 3d-aware
Xiaoming Zhao, Fangchang Ma, David Güera, Zhile Ren, Alexander G Schwing, and Alex Colburn · 2022
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Nerfdiff: Single-image view synthesis with nerf-guided distillation from 3d-aware diffusion
Jiatao Gu, Alex Trevithick, Kai-En Lin, Josh Susskind, Christian Theobalt, Lingjie Liu, and Ravi Ramamoorthi · 2023
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3d-aware blending with generative nerfs
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Vision transformer for nerf-based view synthesis from a single input image
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