Update README.md

README.md

@@ -1,12 +1,34 @@
----
-license: c-uda
-language:
-- en
-- zh
-size_categories:
-- 100M<n<1B
-tags:
-- Multi-view videos  # Example: audio
-- Human-centric      # Example: bio
-- 3D human reconstruction  # Example: natural-language-understanding
-- Novel view synthesis  # Example: birds-classification
+# PKU-DyMVHumans
+
+## Overview
+
+PKU-DyMVHumans is a versatile human-centric dataset designed for high-fidelity reconstruction and rendering of dynamic human performances in markerless multi-view capture settings. It comprises 32 humans across 45 different dynamic scenarios, each featuring highly detailed appearances and complex human motions. 
+
+Inspired by recent advancements in neural radiance field (NeRF)-based scene representations, we carefully set up an off-the-shelf framework that is easy to provide those state-of-the-art NeRF-based implementations and benchmark on PKU-DyMVHumans dataset. This includes neural scene decomposition, 3D human reconstruction, and novel view synthesis of dynamic scenes.
+
+## Key Features:
+**Part1**:
+**Part1**:
+
+## Dataset format
+
+For each scene, we provide the multi-view images (`./case_name/per_view/cam_*/images/`), the coarse foreground with RGBA channels (`./case_name/per_view/cam_*/images/`), as well as the coarse foreground segmentation (`./case_name/per_view/cam_*/pha/`), which are obtained using [BackgroundMattingV2](https://github.com/PeterL1n/BackgroundMattingV2). 
+
+To make the benchmarks easier compare with our dataset, we save different data formats (i.e., [Surface-SOS](https://github.com/zhengxyun/Surface-SOS), [NeuS](https://github.com/Totoro97/NeuS), [NeuS2](https://github.com/19reborn/NeuS2), [Instant-ngp](https://github.com/NVlabs/instant-ngp), and [3D-Gaussian](https://github.com/graphdeco-inria/gaussian-splatting)) of PKU-DyMVHumans at **Part1** and write a document that describes the data process. 
+
+
+```
+.
+|--- <case_name>
+|   |--- cams                    
+|   |--- videos
+|   |--- per_view                
+|   |--- per_frame              
+|   |--- data_ngp       
+|   |--- data_NeuS
+|   |--- data_NeuS2
+|   |--- data_COLMAP
+|   |--- <overview_fme_*.png>
+|--- ...
+
+```