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AI Research 84% 1 min readJul 1, 2025, 9:00 AM

Whole-Body Conditioned Egocentric Video Prediction

Evolving story · 1 updatesWhole-Body Conditioned Egocentric Video PredictionTimeline →
30-second summary

Researchers at UC Berkeley introduce PEVA, a model for whole-body conditioned egocentric video prediction using a diffusion transformer, enabling realistic future frame generation from first-person video inputs.

Whole-Body Conditioned Egocentric Video Prediction
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z-index: 9999;

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width: 100%;

height: 100%;

overflow: auto;

background-color: rgba(0,0,0,0.9);

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max-width: 90%;

max-height: 90%;

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font-size: 40px;

font-weight: bold;

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cursor: zoom-in;

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Source: Whole-Body Conditioned Egocentric Video Prediction. Read the full piece at the source.

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