Media Summary: AutoRF: Learning 3D Object Radiance Fields from Single View Observations Norman Müller, ... Learning Neural Parametric Head Models Simon Giebenhain, Tobias Kirschstein, Markos Georgopoulos, Martin Rünz, Lourdes ... Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction Guy ...
Cvpr 2022 Paper Compilation Tum Visual Computing Lab Collaborators - Detailed Analysis & Overview
AutoRF: Learning 3D Object Radiance Fields from Single View Observations Norman Müller, ... Learning Neural Parametric Head Models Simon Giebenhain, Tobias Kirschstein, Markos Georgopoulos, Martin Rünz, Lourdes ... 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 ... NPMs: Neural Parametric Models for 3D Deformable Shapes Pablo Palafox, Aljaž Božič, ... Text2Tex: Text-driven Texture Synthesis via Diffusion Models Dave Zhenyu Chen, Yawar Siddiqui, Hsin-Ying Lee, Sergey ...
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 Bridging the Gap Between Learning in Discrete and Continuous Environments for
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