DELIFFAS: Deformable Light Fields for Fast Avatar Synthesis
Youngjoong Kwon, Lingjie Liu, Henry Fuchs, Marc Habermann, Christian Theobalt
Abstract
Generating controllable and photorealistic digital human avatars is a long-standing and important problem in Vision and Graphics. Recent methods have shown great progress in terms of either photorealism or inference speed while the combination of the two desired properties still remains unsolved. To this end, we propose a novel method, called DELIFFAS, which parameterizes the appearance of the human as a surface light field that is attached to a controllable and deforming human mesh model. At the core, we represent the light field around the human with a deformable two-surface parameterization, which enables fast and accurate inference of the human appearance. This allows perceptual supervision on the full image compared to previous approaches that could only supervise individual pixels or small patches due to their slow runtime. Our carefully designed human representation and supervision strategy leads to state-of-the-art synthesis results and inference time. The video results and code are available at https://vcai. mpi-inf.mpg.de/projects/DELIFFAS .
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Cited by top-tier papers18
- 3DGS-Avatar: Animatable Avatars via Deformable 3D Gaussian SplattingZhiyin Qian, Shaofei Wang, Marko Mihajlovic, Andreas Geiger et al.CVPR 2024 · 131 citations
- ASH: Animatable Gaussian Splats for Efficient and Photoreal Human RenderingHaokai Pang, Heming Zhu, Adam Kortylewski, Christian Theobalt et al.CVPR 2024 · 56 citations
- Expressive Gaussian Human Avatars from Monocular RGB VideoHezhen Hu, Zhiwen Fan, Tianhao Wu, Yihan Xi et al.NeurIPS 2024 · 29 citations
- VideoRF: Rendering Dynamic Radiance Fields as 2D Feature Video StreamsLiao Wang, Kaixin Yao, Chengcheng Guo, Zhirui Zhang et al.CVPR 2024 · 14 citations
- Holoported Characters: Real-Time Free-Viewpoint Rendering of Humans from Sparse RGB CamerasAshwath Shetty, Marc Habermann, Guoxing Sun, Diogo C. Luvizon et al.CVPR 2024 · 9 citations
Builds on18
- Neural Sparse Voxel FieldsLingjie Liu, Jiatao Gu, Kyaw Zaw Lin, Tat-Seng Chua et al.NeurIPS 2020 · 1,535 citations
- GRAF: Generative Radiance Fields for 3D-Aware Image SynthesisKatja Schwarz, Yiyi Liao, Michael Niemeyer, Andreas GeigerNeurIPS 2020 · 1,001 citations
- Light Field Networks: Neural Scene Representations with Single-Evaluation RenderingVincent Sitzmann, Semon Rezchikov, Bill Freeman, Josh Tenenbaum et al.NeurIPS 2021 · 426 citations
- HumanNeRF: Free-viewpoint Rendering of Moving People from Monocular VideoChung-Yi Weng, Brian Curless, Pratul P. Srinivasan, Jonathan T. Barron et al.CVPR 2022 · 411 citations
- Neural Articulated Radiance FieldAtsuhiro Noguchi, Xiao Sun, Stephen Lin, Tatsuya HaradaICCV 2021 · 242 citations
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