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Whole-Body Conditioned Egocentric Video Prediction

Lab/vendor primary source

#218

T2digested
Topic
Practitioner Notes
First seen
2026-07-16 19:08:00
Last seen
2026-07-16 19:08:00

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  • Blog / Newsletter2026-07-16 19:07:20
    Whole-Body Conditioned Egocentric Video Prediction

    <!-- Modal for image zoom --> <!-- Modal HTML --> <div class="modal" id="imageModal"> <span class="close">&times;</span> <img class="modal-content" id="modalImg" /> </div> <!-- twitter --> <div style="width: 100%; margin: 0 auto; text-align: center;"> <p style="text-align: center;"> <img src="https://bair.berkeley.edu/static/blog/peva/teaserv3_web.png" width="100%" /> <br /> <i style="font-size: 0.9em;"><a href="https://arxiv.org/abs/2506.21552" target="_blank"><strong>Predicting Ego-centric Video from human Actions (PEVA)</strong></a>. Given past video frames and an action specifying a desired change in 3D pose, PEVA predicts the next video frame. Our results show that, given the first frame and a sequence of actions, our model can generate videos of atomic actions (a), simulate counterfactuals (b), and support long video generation (c).</i> </p> </div> <p>Recent years have brought significant advances in world models that learn to simulate future outcomes for pl