Papers2

#attentive probe

RoboCurate: Harnessing Diversity with Action-Verified Neural Trajectory for Robot Learning

Seungku Kim, Suhyeok Jang et al.Feb 21arXiv

RoboCurate is a way to make better robot training videos by checking if the actions in a generated video actually match what a robot would do in a simulator.

#RoboCurate#neural trajectory#action verification

Learning from Next-Frame Prediction: Autoregressive Video Modeling Encodes Effective Representations

Beginner

Jinghan Li, Yang Jin et al.Dec 24arXiv

This paper introduces NExT-Vid, a way to teach a video model by asking it to guess the next frame of a video while parts of the past are hidden.

#autoregressive video pretraining#masked next-frame prediction#context isolation