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Found 7 papers, 4 papers with code
MVHumanNet++: A Large-scale Dataset of Multi-view Daily Dressing Human Captures with Richer Annotations for 3D Human Digitization
In this era, the success of large language models and text-to-image models can be attributed to the driving force of large-scale datasets.
MAG: Multi-Modal Aligned Autoregressive Co-Speech Gesture Generation without Vector Quantization
This work focuses on full-body co-speech gesture generation.
Surfel-based Gaussian Inverse Rendering for Fast and Relightable Dynamic Human Reconstruction from Monocular Video
Efficient and accurate reconstruction of a relightable, dynamic clothed human avatar from a monocular video is crucial for the entertainment industry.
GauStudio: A Modular Framework for 3D Gaussian Splatting and Beyond
We present GauStudio, a novel modular framework for modeling 3D Gaussian Splatting (3DGS) to provide standardized, plug-and-play components for users to easily customize and implement a 3DGS pipeline.
LivelySpeaker: Towards Semantic-Aware Co-Speech Gesture Generation
While previous methods are able to generate speech rhythm-synchronized gestures, the semantic context of the speech is generally lacking in the gesticulations.
Dual-Space NeRF: Learning Animatable Avatars and Scene Lighting in Separate Spaces
Previous methods alleviate the inconsistency of lighting by learning a per-frame embedding, but this operation does not generalize to unseen poses.
Speech Drives Templates: Co-Speech Gesture Synthesis with Learned Templates
Co-speech gesture generation is to synthesize a gesture sequence that not only looks real but also matches with the input speech audio.
