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Found 5 papers, 2 papers with code
BAGS: Building Animatable Gaussian Splatting from a Monocular Video with Diffusion Priors
In this work, we propose a method to build animatable 3D Gaussian Splatting from monocular video with diffusion priors.
Control3Diff: Learning Controllable 3D Diffusion Models from Single-view Images
To address these challenges, We present Control3Diff, a 3D diffusion model that combines the strengths of diffusion models and 3D GANs for versatile, controllable 3D-aware image synthesis for single-view datasets.
Rhythmic Gesticulator: Rhythm-Aware Co-Speech Gesture Synthesis with Hierarchical Neural Embeddings
We present a novel co-speech gesture synthesis method that achieves convincing results both on the rhythm and semantics.
Ranked #2 on
Gesture Generation
on TED Gesture Dataset
Neural Novel Actor: Learning a Generalized Animatable Neural Representation for Human Actors
The learned representation can be used to synthesize novel view images of an arbitrary person from a sparse set of cameras, and further animate them with the user's pose control.
Unsupervised Co-part Segmentation through Assembly
Co-part segmentation is an important problem in computer vision for its rich applications.
