Media Summary: QPGesture: Quantization-Based and Phase-Guided Motion Matching for Natural Speech-Driven Gesture Generation. Learning Neural Parametric Head Models Simon Giebenhain, Tobias Kirschstein, Markos Georgopoulos, Martin Rünz, Lourdes ... Tl;dr: We propose a new approach to video-language representation learning by leveraging pre-trained large language models ...
Cvpr 2023 Top Papers Highlights My First Time - Detailed Analysis & Overview
QPGesture: Quantization-Based and Phase-Guided Motion Matching for Natural Speech-Driven Gesture Generation. Learning Neural Parametric Head Models Simon Giebenhain, Tobias Kirschstein, Markos Georgopoulos, Martin Rünz, Lourdes ... Tl;dr: We propose a new approach to video-language representation learning by leveraging pre-trained large language models ... Video presentation in 8 minutes (1-minute summary + 7-minute presentation) of our IEEE/CVF Conference on Computer Vision and Pattern Recognition Per-frame volumetric reconstruction visualized as a voxel grid. IEEE/CVF Conference on Computer Vision and Pattern ...
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