Author

Animesh Garg

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#artificial intelligence Preprint Oct 2026

Less Decoder is More Encoder: Geometric Representation Learning from Novel View Synthesis

This paper examines the role of Novel View Synthesis (NVS) in geometric representation learning. In principle, NVS should reason about 3D scene structure, thereby enabling transferable multi-view geometric representations. Yet, existing encoder-based NVS methods yield poor representations. This is not because of a lack...

Keerthi Kaashyap, D. Anthony, Akshay Krishnan et al. · 0 citations

#artificial intelligence Preprint Sep 2026

KeyGen: Unsupervised Keypoint based Object-Centric Representations for Category-Level Policy Generalization

KeyGen is introduced, a framework that learns canonicalized semantic 3D keypoints from point clouds and uses them as structured object-centric representations for policy learning to predict full manipulation trajectories, enabling consistent geometric correspondence across object instances.

Shu-Xin Cao, Liquang Wang, Masoud Moghani et al. · 1 citation