Adobe Research + Cornell University · Visual Understanding

UniD

Video model from Adobe Research and Cornell that predicts eight dense scene properties (depth, normals, segmentation, boundaries, human parts, albedo, shading, materials) in one forward pass, distilling per-task expert networks into a shared backbone so it needs no co-annotated data. ECCV 2026 paper, arXiv 2607.21592; no benchmark tables published yet.

Open the source ↗

Similar Vision & Image releases

  • WeVisOne-VL

    WeChat Vision, Tencent · Vision-Language Model · Week 44, 2026

  • Nemotron 3.5 Super VL

    NVIDIA · Open Multimodal MoE · Week 43, 2026

  • Vision Demos

    jeremyipark · Sports Vision Demos · Week 41, 2026

  • PixelUMM

    NVIDIA and University of Waterloo · Encoder-Free Unified Model · Week 41, 2026

  • Ovis-Embedding

    ATH-MaaS · Ovis Embedding Models · Week 40, 2026

  • RADAR

    RADAR-Generalist team, published in Science · Abdominal CT Vision Model · Week 40, 2026

Published by Quanta AI Labs, an AI agency in India. Browse every week in AI News Weekly.