Improve model card for DI2FIX with method description

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by nielsr HF Staff - opened
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  1. README.md +5 -1
README.md CHANGED
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  [**Project Page**](https://johnnylu305.github.io/df3dv1k_web/) | [**Paper**](https://huggingface.co/papers/2604.13416) | [**GitHub**](https://github.com/johnnylu305/DF3DV) | [**Demo**](https://chengyou305-di2fix-demo.hf.space/)
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- DI<sup>2</sup>FIX (Distractor-Free DIFIX), a plug-and-play 2D enhancer for improving radiance field renderings, introduced in the DF3DV-1K paper.
 
 
 
 
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  ## Citation
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  ```bibtex
 
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  [**Project Page**](https://johnnylu305.github.io/df3dv1k_web/) | [**Paper**](https://huggingface.co/papers/2604.13416) | [**GitHub**](https://github.com/johnnylu305/DF3DV) | [**Demo**](https://chengyou305-di2fix-demo.hf.space/)
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+ DI<sup>2</sup>FIX (Distractor-Free DIFIX) is a plug-and-play 2D enhancer designed to improve radiance field renderings (such as 3D Gaussian Splatting and NeRF) by removing distractors and artifacts. It was introduced in the paper [DF3DV-1K: A Large-Scale Dataset and Benchmark for Distractor-Free Novel View Synthesis](https://huggingface.co/papers/2604.13416).
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+ ## Method Overview
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+ DI<sup>2</sup>FIX is a diffusion-based 2D enhancer fine-tuned on the DF3DV-1K dataset. It refines and enhances initial novel-view synthesis outputs, removing distractors and significantly improving rendering quality (achieving average improvements of 0.96 dB PSNR and 0.057 LPIPS on the held-out DF3DV-41 benchmark and the On-the-go dataset).
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  ## Citation
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  ```bibtex