Create README.md

README.md

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+---
+license: cc-by-4.0
+language:
+- en
+base_model:
+- black-forest-labs/FLUX.1-Kontext-dev
+pipeline_tag: image-to-image
+tags:
+- Generative Modeling
+- Image Editing
+- Geometric Editing
+- 3D Vision
+datasets:
+- pradhaansbhat/Thinking-In-Boxes
+library_name: diffusers
+---
+
+# [NeurIPS-2026] Thinking in Boxes: 3D Editing in Real Images Made Easy
+
+[**Pradhaan S Bhat**](https://pradhaansbhat.github.io/)<sup>1</sup><sup>∗</sup> · [**Naveen Chandra R**](https://www.linkedin.com/in/naveen-chandra-r-7230aa192)<sup>1</sup><sup>∗</sup> · [**Rishubh Parihar**](https://rishubhpar.github.io/)<sup>1</sup> · [**Vaibhav Vavilala**](https://www.linkedin.com/in/vaibhav-vavilala)<sup>2</sup> · [**R. Venkatesh Babu**](https://cds.iisc.ac.in/faculty/venky/)<sup>1</sup> · [**D.A. Forsyth**](http://luthuli.cs.uiuc.edu/~daf/) · [**Anand Bhattad**](https://anandbhattad.github.io/)<sup>4</sup>
+
+<sup>1</sup> Indian Institute of Science
+<sup>2</sup> Apple
+<sup>3</sup> UIUC
+<sup>4</sup> Johns Hopkins University
+
+<sup>∗</sup> Equal Contribution
+
+[![arXiv](https://img.shields.io/badge/arXiv-2606.20556-b31b1b.svg)](https://arxiv.org/abs/2606.20556)
+[![Project Page](https://img.shields.io/badge/Project-Page-1f6feb.svg)](https://thinking-in-boxes.github.io)
+[![GitHub](https://img.shields.io/badge/Github-Repository-blue?logo=github)](https://github.com/PradhaanSBhat/Thinking-In-Boxes)
+[![Hugging Face Model](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Model-yellow)](https://huggingface.co/pradhaansbhat/Thinking-In-Boxes)
+[![Hugging Face](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Dataset-orange)](https://huggingface.co/datasets/pradhaansbhat/Thinking-In-Boxes)
+[![Demo](https://img.shields.io/badge/🎬%20Demo-blue.svg)]()
+
+This is the trained LoRA used in the paper **Thinking In Boxes: 3D Editing in Real Images Made Easy**.
+
+Thinking-In-Boxes is an Image-to-Image Generative LoRA for `black-forest-labs/FLUX.1-Kontext-dev` trained for the task of Geometric Image Editing.
+
+This LoRA is trained on the dataset here: https://huggingface.co/datasets/pradhaansbhat/Thinking-In-Boxes. Details of training are available in the supplementary section of the paper.
+
+## Usage with Diffusers 🧨
+
+Please refer to the [[GitHub Repository]](https://github.com/PradhaanSBhat/Thinking-In-Boxes) on setup, inference and training.
+
+## Citation
+
+If you find our work useful, please consider citing:
+
+```bibtex
+@misc{bhat2026thinkingboxes3dediting,
+  title         = {Thinking in Boxes: 3D Editing in Real Images Made Easy},
+  author        = {Pradhaan S Bhat and Naveen Chandra R and Rishubh Parihar and Vaibhav Vavilala and R. Venkatesh Babu and D. A. Forsyth and Anand Bhattad},
+  year          = {2026},
+  eprint        = {2606.20556},
+  archivePrefix = {arXiv},
+  primaryClass  = {cs.CV},
+  url           = {https://arxiv.org/abs/2606.20556}
+}
+```
+---