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Efficient generation of 3D digital humans is important in several industries, including virtual reality, social media, and cinematic production.
Point sample rendering
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Object space ewa surface splatting: A hardware accelerated approach to high quality point rendering
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Point-based rendering techniques
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Laplacian surface editing
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Shell maps
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Point-based graphics
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Samuli Laine and Tero Karras · 2011
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Fast articulated motion tracking using a sums of gaussians body model
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Smpl: A skinned multi-person linear model
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A versatile scene model with differentiable visibility applied to generative pose estimation
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Deepfashion: Powering robust clothes recognition and retrieval with rich annotations
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A style-based generator architecture for generative adversarial networks
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Expressive body capture: 3D hands, face, and body from a single image
Georgios Pavlakos, Vasileios Choutas, Nima Ghorbani, Timo Bolkart, Ahmed A. A. Osman, Dimitrios Tzionas, and Michael J. Black · 2019
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Differentiable surface splatting for point-based geometry processing
Wang Yifan, Felice Serena, Shihao Wu, Cengiz Öztireli, and Olga Sorkine-Hornung · 2019
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Neural point-based graphics
Kara-Ali Aliev, Artem Sevastopolsky, Maria Kolos, Dmitry Ulyanov, and Victor Lempitsky · 2020
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Analyzing and improving the image quality of StyleGAN
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila · 2020
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Graf: Generative radiance fields for 3d-aware image synthesis
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State of the art on neural rendering
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Synsin: End-to-end view synthesis from a single image
Olivia Wiles, Georgia Gkioxari, Richard Szeliski, and Justin Johnson · 2020
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Mip-nerf: A multiscale representation for anti-aliasing neural radiance fields
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pi-gan: Periodic implicit generative adversarial networks for 3d-aware image synthesis
Eric R Chan, Marco Monteiro, Petr Kellnhofer, Jiajun Wu, and Gordon Wetzstein · 2021
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Stylepeople: A generative model of fullbody human avatars
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Alias-free generative adversarial networks
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Point-based neural rendering with per-view optimization
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Learn to dance with aist++: Music conditioned 3d dance generation, 2021
Ruilong Li, Shan Yang, David A. Ross, and Angjoo Kanazawa · 2021
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Youssef A Mejjati, Isa Milefchik, Aaron Gokaslan, Oliver Wang, Kwang In Kim, and James Tompkin · 2021
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Point-nerf: Point-based neural radiance fields
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Differentiable point-based radiance fields for efficient view synthesis
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Panohead: Geometry-aware 3d full-head synthesis in 360deg
Sizhe An, Hongyi Xu, Yichun Shi, Guoxian Song, Umit Y Ogras, and Linjie Luo · 2023
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Articulated 3d head avatar generation using text-to-image diffusion models
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Generative novel view synthesis with 3d-aware diffusion models
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High-resolution image synthesis with latent diffusion models
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3d-aware image synthesis via learning structural and textural representations
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ClipFace: Text-guided Editing of Textured 3D Morphable Models
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ediff-i: Text-to-image diffusion models with an ensemble of expert denoisers
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Generative neural articulated radiance fields
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Efficient geometry-aware 3D generative adversarial networks
Eric R. Chan, Connor Z. Lin, Matthew A. Chan, Koki Nagano, Boxiao Pan, Shalini De Mello, Orazio Gallo, Leonidas Guibas, Jonathan Tremblay, Sameh Khamis, Tero Karras, and Gordon Wetzstein · 2022
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3d gaussian splatting for real-time radiance field rendering
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Compositional 3d scene generation using locally conditioned diffusion
Ryan Po and Gordon Wetzstein · 2023
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State of the art on diffusion models for visual computing, 2023
Ryan Po, Wang Yifan, Vladislav Golyanik, Kfir Aberman, Jonathan T. Barron, Amit H. Bermano, Eric Ryan Chan, Tali Dekel, Aleksander Holynski, Angjoo Kanazawa, C. Karen Liu, Lingjie Liu, Ben Mildenhall, Matthias Nießner, Björn Ommer, Christian Theobalt, Peter Wonka, and Gordon Wetzstein · 2023
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Nerfahedron: A primitive for animatable neural rendering with interactive speed
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3d generation on imagenet
Ivan Skorokhodov, Aliaksandr Siarohin, Yinghao Xu, Jian Ren, Hsin-Ying Lee, Peter Wonka, and Sergey Tulyakov · 2023
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Next3d: Generative neural texture rasterization for 3d-aware head avatars
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3dhumangan: 3d-aware human image generation with 3d pose mapping
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Pointavatar: Deformable point-based head avatars from videos
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Efficient 3d articulated human generation with layered surface volumes
Yinghao Xu, Wang Yifan, Alexander W. Bergman, Menglei Chai, Bolei Zhou, and Gordon Wetzstein · 2024
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