diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..4e0dedc5d3175b99c1a584ba1fcfc87d61cf7f65 --- /dev/null +++ b/README.md @@ -0,0 +1,67 @@ +--- +pretty_name: VisPhyBench +license: mit +language: + - en +--- + +# VisPhyBench + +To evaluate how well models reconstruct appearance and reproduce physically plausible motion, we introduce VisPhyBench, a unified evaluation protocol comprising 209 scenes derived from 108 physical templates that assesses physical understanding through the lens of code-driven resimulation in both 2D and 3D scenes, integrating metrics from different aspects. Each scene is also annotated with a coarse difficulty label (easy/medium/hard). + +# Dataset Details + +- **Created by:** Jiarong Liang +- **Language(s) (NLP):** English +- **License:** MIT +- **Repository:** `https://github.com/TIGER-AI-Lab/VisPhyWorld` + +# Uses + +The dataset is used to evaluate how well models reconstruct appearance and reproduce physically plausible motion. + +# Dataset Structure + +The difficulty of the two sets of VisPhyBench splits, **sub (209)** and **test (49)**, are as follows: **sub** is **114/67/28** (**54.5%/32.1%/13.4%**), and **test** is **29/17/3** (**59.2%/34.7%/6.1%**) (Easy/Medium/Hard). + +## What each sample contains + +VisPhyBench is provided as two splits: + +- `sub`: a larger split intended for evaluation and analysis. +- `test`: a smaller split subsampled from `sub` for quick sanity checks. + +For each sample, we provide: + +1. **A short video** of a synthetic physical scene. +2. **A detection JSON** (per sample) that describes the scene in the first frame. +3. **A difficulty label** (easy/medium/hard) derived from the mean of eight annotators’ 1–5 ratings. + +## Detection JSON format + +Each detection JSON includes: + +- `image_size`: the image width/height. +- `coordinate_system`: conventions for coordinates (e.g., origin and axis directions). +- `objects`: a list of detected objects. Each object includes: + - `id`: unique identifier. + - `category`: coarse geometry category. + - `color_rgb`: RGB color triplet. + - `position`: object position (e.g., center coordinates). + - `bbox`: bounding box coordinates and size. + - `size`: coarse size fields (e.g., radius/length/thickness). + +These fields specify object locations and attributes precisely, which helps an LLM initialize objects correctly when generating executable simulation code. + +# BibTeX + +```bibtex +@misc{visphybench2026, + title = {VisPhyBench}, + author = {Liang, Jiarong and Ku, Max and Hui, Ka-Hei and Nie, Ping and Chen, Wenhu}, + howpublished = {GitHub repository}, + year = {2026}, + url = {https://github.com/TIGER-AI-Lab/VisPhyWorld} +} +``` + diff --git a/STAGING_INFO.txt b/STAGING_INFO.txt new file mode 100644 index 0000000000000000000000000000000000000000..3d877e755c9719485d97ff02d72bb8d3a695d828 --- /dev/null +++ b/STAGING_INFO.txt @@ -0,0 +1,2 @@ +Staged from /home/jiarong/VisPhyWorld +Created: 2026-02-08T21:36:22.284123Z diff --git a/sub/detection_json/task00000_000_frame_01.json b/sub/detection_json/task00000_000_frame_01.json new file mode 100644 index 0000000000000000000000000000000000000000..3021502ea68dc5c26ea74f9db94c7414368316ed --- /dev/null +++ b/sub/detection_json/task00000_000_frame_01.json @@ -0,0 +1,77 @@ +{ + "image_size": { + "width": 512, + "height": 512 + }, + "coordinate_system": { + "origin": "top_left", + "x_axis": "to_right", + "y_axis": "downward" + }, + "objects": [ + { + "id": "red_ball", + "category": "circle", + "color_rgb": [240, 78, 67], + "position": { + "center_x": 280.04, + "center_y": 147.27 + }, + "bbox": { + "x_min": 240, + "y_min": 102, + "x_max": 320, + "y_max": 191, + "width": 81, + "height": 90 + }, + "size": { + "area_pixels": 6275, + "radius_pixels": 44.69 + } + }, + { + "id": "blue_ball", + "category": "circle", + "color_rgb": [22, 118, 241], + "position": { + "center_x": 383.73, + "center_y": 380.64 + }, + "bbox": { + "x_min": 351, + "y_min": 342, + "x_max": 416, + "y_max": 415, + "width": 66, + "height": 74 + }, + "size": { + "area_pixels": 4177, + "radius_pixels": 36.46 + } + }, + { + "id": "teal_ball", + "category": "circle", + "color_rgb": [107, 206, 187], + "position": { + "center_x": 179.92, + "center_y": 395.58 + }, + "bbox": { + "x_min": 160, + "y_min": 374, + "x_max": 201, + "y_max": 415, + "width": 42, + "height": 42 + }, + "size": { + "area_pixels": 1428, + "radius_pixels": 21.32 + } + } + ] + } + \ No newline at end of file diff --git a/sub/detection_json/task00000_005_frame_01.json b/sub/detection_json/task00000_005_frame_01.json new file mode 100644 index 0000000000000000000000000000000000000000..8100501dbeebfd81ba773d77939674c533706838 --- /dev/null +++ b/sub/detection_json/task00000_005_frame_01.json @@ -0,0 +1,77 @@ +{ + "image_size": { + "width": 512, + "height": 512 + }, + "coordinate_system": { + "origin": "top_left", + "x_axis": "to_right", + "y_axis": "downward" + }, + "objects": [ + { + "id": 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