Adding some tags and paper link

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by sergiopaniego HF Staff - opened
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  1. README.md +57 -3
README.md CHANGED
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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - dino
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+ - scene-understanding
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+ - semantic-scene-completion
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+ - unsupervised
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+ pipeline_tag: image-to-3d
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+ ---
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+
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+ <div align="center">
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+ <h1>Feed-Forward <i>SceneDINO</i> for Unsupervised Semantic Scene Completion</h1>
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+
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+ [**Aleksandar Jevtić**](https://jev-aleks.github.io/)<sup>*1</sup>
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+ [**Christoph Reich**](https://christophreich1996.github.io/)<sup>*1,2,4,5</sup>
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+ [**Felix Wimbauer**](https://fwmb.github.io/)<sup>1,4</sup>
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+ [**Oliver Hahn**](https://olvrhhn.github.io/)<sup>2</sup>
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+ [**Christian Rupprecht**](https://chrirupp.github.io/)<sup>3</sup>
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+ [**Stefan Roth**](https://www.visinf.tu-darmstadt.de/visual_inference/people_vi/stefan_roth.en.jsp)<sup>2,5,6</sup>
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+ [**Daniel Cremers**](https://cvg.cit.tum.de/members/cremers/)<sup>1,4,5</sup>
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+
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+ <sup>1</sup>TU Munich <sup>2</sup>TU Darmstadt <sup>3</sup>University of Oxford <sup>4</sup>MCML <sup>5</sup>ELIZA <sup>6</sup>hessian.AI *equal contribution
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+
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+ <a href="https://arxiv.org/abs/2507.06230"><img src='https://img.shields.io/badge/ArXiv-grey' alt='Paper PDF'></a>
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+ <a href="https://visinf.github.io/scenedino/"><img src='https://img.shields.io/badge/Project Page-grey' alt='Project Page URL'></a>
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+ <a href="https://huggingface.co/spaces/jev-aleks/SceneDINO"><img src='https://img.shields.io/badge/🤗 Demo-grey' alt='Project Page URL'></a>
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+ <a href="https://opensource.org/licenses/Apache-2.0"><img src='https://img.shields.io/badge/License-Apache%202.0-blue.svg' alt='License'></a>
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+ [![Framework](https://img.shields.io/badge/PyTorch-%23EE4C2C.svg?&logo=PyTorch&logoColor=white)](https://pytorch.org/)
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+
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+ </div>
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+
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+ ## Overview
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+
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+ SceneDINO is unsupervised and infers 3D geometry and features from a single image in a feed-forward manner. Distilling and clustering SceneDINO's 3D feature field results in unsupervised semantic scene completion predictions. The method is trained using multi-view self-supervision.
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+
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+ ## Installation & Quick Start
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+
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+ Please refer to our [Github Repo](https://github.com/tum-vision/scenedino).
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+
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+ ## Citation
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+
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+ If you find our work useful, please consider giving it a star ⭐ and citing our paper.
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+
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+ ```bibtex
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+ @inproceedings{Jevtic:2025:SceneDINO,
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+ author = {Aleksandar Jevti{\'c} and
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+ Christoph Reich and
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+ Felix Wimbauer and
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+ Oliver Hahn and
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+ Christian Rupprecht and
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+ Stefan Roth and
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+ Daniel Cremers},
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+ title = {Feed-Forward {SceneDINO} for Unsupervised Semantic Scene Completion},
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+ journal = {IEEE/CVF International Conference on Computer Vision (ICCV)},
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+ year = {2025},
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+ }
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+ ```