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Found 6 papers, 2 papers with code
GEARS: Local Geometry-aware Hand-object Interaction Synthesis
Generating realistic hand motion sequences in interaction with objects has gained increasing attention with the growing interest in digital humans.
Panoramic Depth Estimation via Supervised and Unsupervised Learning in Indoor Scenes
With a comprehensive variety of experiments, this research demonstrates the effectiveness of our schemes aiming for indoor scene perception.
Adjoint Rigid Transform Network: Task-conditioned Alignment of 3D Shapes
The remarkable result is that with only self-supervision, ART facilitates learning a unique canonical orientation for both rigid and nonrigid shapes, which leads to a notable boost in performance of aforementioned tasks.
Unsupervised Shape and Pose Disentanglement for 3D Meshes
The experiments on datasets of 3D humans, faces, hands and animals demonstrate the generality of our approach.
Efficient Image Evidence Analysis of CNN Classification Results
We believe that our work makes network introspection more feasible for debugging and understanding deep convolutional networks.
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