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ChaimZhu/Astra-WM
Astra-WM is a machine learning model from ChaimZhu. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as other.
Astra-WM is not used as an open-ended image generator. It receives context images and a natural-language camera-motion instruction, then synthesizes a novel observation that should stay consistent with the same scene.…
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From the Hugging Face model README
Astra-WM is not used as an open-ended image generator. It receives context images and a natural-language camera-motion instruction, then synthesizes a novel observation that should stay consistent with the same scene. This makes the simulator a mechanism for controlled visual intervention: the policy changes its perceptual input by choosing an action, then judges whether the imagined observation provides useful spatial evidence.
This checkpoint is used as an external world simulator tool for agentic spatial reasoning. Given context images and a camera movement instruction, it generates the corresponding novel- view observation image.
ema.safetensors: model weightsae.safetensors: autoencoder weightsconfig.json: BAGEL model configllm_config.json: language model configvit_config.json: vision encoder config