Eccv 2020 Paper Compilation Tum Visual Computing Lab Collaborators

Summary

NPMs: Neural Parametric Models for 3D Deformable Shapes pablopalafox.github.io/npms/ Pablo Palafox, Aljaž Božič, ... Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction gafniguy.github.io/4D-Facial-Avatars/ Guy ... AutoRF: Learning 3D Object Radiance Fields from Single View Observations sirwyver.github.io/AutoRF/ Norman Müller, ... Learning Neural Parametric Head Models Simon Giebenhain, Tobias Kirschstein, Markos Georgopoulos, Martin Rünz, Lourdes ... DiffusionAvatars: Deferred Diffusion for High-fidelity 3D Head Avatars Tobias Kirschstein, Simon Giebenhain, Matthias Nießner ... This work proposes an efficient HDR deghosting method that can support higher image resolutions with limited computational ... In this video, we discuss our recent work investigating the effect of video file corruptions on Text2Tex: Text-driven Texture Synthesis via Diffusion Models Dave Zhenyu Chen, Yawar Siddiqui, Hsin-Ying Lee, Sergey ... Object recognition has seen significant progress in the image domain, with focus primarily on 2D perception. We propose to ... This is a pre-recorded talk given at the