Add task category and links to paper, code and project page

README.md

@@ -1,5 +1,17 @@
+---
+task_categories:
+- image-to-3d
+tags:
+- hdr
+- 3d-reconstruction
+- gaussian-splatting
+- novel-view-synthesis
+---
+
 # HDR-Pretrain: A Pretraining Dataset for 3D HDR Reconstruction
 
+[Paper](https://huggingface.co/papers/2603.11298) | [Code](https://github.com/Bugjudger/InstantHDR) | [Project page](https://bugjudger.github.io/InstantHDR/)
+
 HDR-Pretrain is a synthetic multi-view dataset for **pretraining 3D high dynamic range (HDR) reconstruction models**. It provides multi-exposure low dynamic range (LDR) images and corresponding HDR references to support learning 3D HDR scene representations from multi-view observations and rendering HDR images from novel viewpoints.
 
 The dataset contains **168 Blender-rendered indoor scenes**. Each scene contains 18 training views and 17 test views, with five LDR exposure variants per view, HDR references, camera metadata, depth, and normals. The source Blender scenes are also included for re-rendering and data generation.
@@ -57,4 +69,4 @@ Install Blender 4.5.6 and run the batch launcher, setting the executable path an
 BLENDER=/path/to/blender CUDA_VISIBLE_DEVICES=0 bash instanthdr.sh
 ```
 
-The launcher reads `.blend` files from `blender_scenes/` and writes rendered data into `scenes/<scene_id>/`. Rendering settings are in the `CONFIG` dictionary in `instanthdr_render.py`. The supplied indexes cover the existing 168 scenes; update the indexes if adding new scene IDs.
+The launcher reads `.blend` files from `blender_scenes/` and writes rendered data into `scenes/<scene_id>/`. Rendering settings are in the `CONFIG` dictionary in `instanthdr_render.py`. The supplied indexes cover the existing 168 scenes; update the indexes if adding new scene IDs.