Main Takeaway: DiffusionAvatars: Deferred Diffusion for High-fidelity 3D Head Avatars Tobias Kirschstein, Simon Giebenhain, Matthias Nießner ... Learning Neural Parametric Head Models Simon Giebenhain, Tobias Kirschstein, Markos Georgopoulos, Martin Rünz, Lourdes ...
Cvpr 2022 Paper Compilation Tum Visual Computing Lab Collaborators -
DiffusionAvatars: Deferred Diffusion for High-fidelity 3D Head Avatars Tobias Kirschstein, Simon Giebenhain, Matthias Nießner ... Learning Neural Parametric Head Models Simon Giebenhain, Tobias Kirschstein, Markos Georgopoulos, Martin Rünz, Lourdes ... NeRSemble: Multi-view Radiance Field Reconstruction of Human Heads Tobias Kirschstein, Shenhan Qian, Simon Giebenhain, ...
Important details found
- DiffusionAvatars: Deferred Diffusion for High-fidelity 3D Head Avatars Tobias Kirschstein, Simon Giebenhain, Matthias Nießner ...
- Learning Neural Parametric Head Models Simon Giebenhain, Tobias Kirschstein, Markos Georgopoulos, Martin Rünz, Lourdes ...
- NeRSemble: Multi-view Radiance Field Reconstruction of Human Heads Tobias Kirschstein, Shenhan Qian, Simon Giebenhain, ...
- Text2Tex: Text-driven Texture Synthesis via Diffusion Models Dave Zhenyu Chen, Yawar Siddiqui, Hsin-Ying Lee, Sergey ...
- AutoRF: Learning 3D Object Radiance Fields from Single View Observations Norman Müller, ...
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