Cvpr 2023 Paper Compilation Tum Visual Computing Lab Collaborators Information Center
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Learning Neural Parametric Head Models Simon Giebenhain, Tobias Kirschstein, Markos Georgopoulos, Martin Rünz, Lourdes ... AutoRF: Learning 3D Object Radiance Fields from Single View Observations Norman Müller, ... Text2Tex: Text-driven Texture Synthesis via Diffusion Models Dave Zhenyu Chen, Yawar Siddiqui, Hsin-Ying Lee, Sergey ... Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction Guy ... DiffusionAvatars: Deferred Diffusion for High-fidelity 3D Head Avatars Tobias Kirschstein, Simon Giebenhain, Matthias Nießner ... NeRSemble: Multi-view Radiance Field Reconstruction of Human Heads Tobias Kirschstein, Shenhan Qian, Simon Giebenhain, ...
Per-frame volumetric reconstruction visualized as a voxel grid. IEEE/CVF Conference on NPMs: Neural Parametric Models for 3D Deformable Shapes Pablo Palafox, Aljaž Božič, ... VisFusion: Visibility-aware Online 3D Scene Reconstruction from Videos Huiyu Gao, Wei Mao, Miaomiao Liu We propose ...
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CVPR 2023 Paper Compilation - TUM Visual Computing Lab & Collaborators
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CVPR 2021 Paper Compilation - TUM Visual Computing Lab & Collaborators
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Last Updated: May 24, 2026
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