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Found 2 papers, 1 papers with code
Diffusion-Augmented Depth Prediction with Sparse Annotations
We leverage the structural characteristics of diffusion model to enforce depth structures of depth models in a plug-and-play manner.
A2J-Transformer: Anchor-to-Joint Transformer Network for 3D Interacting Hand Pose Estimation from a Single RGB Image
3D interacting hand pose estimation from a single RGB image is a challenging task, due to serious self-occlusion and inter-occlusion towards hands, confusing similar appearance patterns between 2 hands, ill-posed joint position mapping from 2D to 3D, etc.. To address these, we propose to extend A2J-the state-of-the-art depth-based 3D single hand pose estimation method-to RGB domain under interacting hand condition.
Ranked #7 on
Hand Pose Estimation
on NYU Hands
