HUGS: Human Gaussian Splats
Muhammed Kocabas, Jen-Hao Rick Chang, James Gabriel, Oncel Tuzel, Anurag Ranjan
2024Year
47Top-tier citations
Abstract
Animatable human avatar & disentangled scene representation 60 FPS rendering time 60 FPS Novel poses & scenes Figure 1. Human Gaussian Splats (HUGS) is a neural rendering framework that trains on 50-100 frames of a monocular video containing a human in a scene. HUGS enables novel view rendering with novel human poses at 60 FPS by learning a disentangled representation that can also render the human in other scenes.
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Install the CLIlune papers fulltext dce24170-3644-49fa-a032-847389744ef0Cited by top-tier papers47
- 3D Gaussian Splatting as Markov Chain Monte CarloShakiba Kheradmand, Daniel Rebain, Gopal Sharma, Weiwei Sun et al.NeurIPS 2024 · 285 citations
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Builds on29
- Segment AnythingAlexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao et al.ICCV 2023 · 13,211 citations
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- Neural Sparse Voxel FieldsLingjie Liu, Jiatao Gu, Kyaw Zaw Lin, Tat-Seng Chua et al.NeurIPS 2020 · 1,535 citations
- PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human DigitizationShunsuke Saito, Zeng Huang, Ryota Natsume, Shigeo Morishima et al.ICCV 2019 · 1,411 citations
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