[KongchangAI]
ModelP3-WAM

P³-WAM

A unified world-action model that adopts a shared video diffusion Transformer backbone with modality-specific adaptation layers, integrating perception, prediction, and planning capabilities under a single set of weights.

Timeline (last 90 days)

Oct 16

P³-WAM is a unified architecture containing three complementary modes—Perceive, Predict and Plan—that share the same video diffusion Transformer backbone.

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Oct 16

P³-WAM's Perceive mode reconstructs articulated hand motion and camera trajectories from video.

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Oct 16

P³-WAM's Predict mode generates future visual frames given actions.

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Oct 16

Experiments show that unified training outperforms single-mode training on all three capabilities, including improved planning quality under vision-language model evaluation.

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Oct 16

On four datasets, P³-WAM surpasses specialized baseline models on both 3D hand reconstruction and action-conditioned video prediction.

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Oct 16

The goal-directed manipulation videos generated by P³-WAM are stronger than video generation baselines in instruction following and action progression.

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Oct 16

The P³-WAM paper project page has been made public: https://p3-wam.pages.dev/.

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