Improve model card for DI2FIX with method description (#1)

- Improve model card for DI2FIX with method description (f9265d51e0c406dff4d7225cd1f29d2456d45094)


Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>

README.md

@@ -14,7 +14,11 @@ tags:
 
 [**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/)
 
-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.
+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).
+
+## Method Overview
+
+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).
 
 ## Citation
 ```bibtex