Organization

Physical Intelligence Rice

phi-lab-rice

Wireless Sensing, Physics Informed AI

Models in Library1

Datasets in Library0

Models on Hugging Face1

Followers2

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This profile connects the 1 model and dataset record shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.

Published tasks: Depth estimation.

Reported licenses: cc-by-nc-4.0. Open a record to review its specific license and conditions.

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Models

Model · Depth estimation

GRADE

Physical Intelligence Rice

This repository contains the complete GRADE model, paper ablations, and baselines: 19 model checkpoint files plus one auxiliary TAESD weight file (20.safetensors files in total). It also includes the inference and metric code and the saved camera-ready quantitative results. The full GRADE model uses the radar, diffusion, and ControlNet checkpoints in checkpoints/grade/. - E1 — saved-result reproduction: regenerate the quantitative tables and figures from the supplied camera-ready CSVs and auxiliary evaluation data. This requires no inference or dataset download. - E2 — local reproduction: run inference on the released evaluation data, compute 2D/3D metrics, then regenerate the quantitative…

Open weights cc-by-nc-4.0 pytorch

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