Add MindView project overview and release documentation

README.md

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+---
+language:
+- en
+tags:
+- mindview
+- benchmark
+- multi-view
+- spatial-intelligence
+- image-to-image
+---
+
+# MindView-Bench
+
+MindView benchmarks language-guided target-view generation from multiple observations of the same indoor scene. **MindView-Bench** is the evaluation-data repository for *MindView: Benchmarking Generative Multi-View Spatial Intelligence*.
+
+**Release status:** This repository currently contains documentation only. Dataset files and image assets have not been uploaded. Release packaging and access instructions are being prepared.
+
+## Benchmark specification
+
+- **1,500 aligned scene–query–target samples** from **513 indoor scenes**.
+- **Six context images** per sample in the standard setting.
+- Nested **C3, C6, and C10** context settings, yielding **4,500 experiment records** across the same 1,500 samples.
+- Seven tasks: Translation, Rotation, Composition, Relational Object Grounding, Target-Facing Reorientation, Object-Centric Repositioning, and Multi-Cue Viewpoint Inference.
+
+The benchmark metadata identifies the scene, task, language instruction, target frame, and ordered context frames. RGB images and sensor-depth resources are separate assets; the geometric evaluation workflow requires metric depth. Images and scene resources originate from ScanNet, ScanNet++, and ARKitScenes.
+
+## Related resources
+
+Collection: [MindView](https://huggingface.co/collections/wangyanbo/mindview-6acf6b7a4a2e25efd51989f5).
+
+| Resource | Purpose |
+|---|---|
+| [MindView-Bench](https://huggingface.co/datasets/wangyanbo/MindView-Bench) | Frozen evaluation data and release metadata |
+| [MindView-Train](https://huggingface.co/datasets/wangyanbo/MindView-Train) | Six-view supervised training data |
+| [MindView-BAGEL-SFT](https://huggingface.co/wangyanbo/MindView-BAGEL-SFT) | Fine-tuned BAGEL EMA checkpoint |
+| [GitHub project repository](https://github.com/Yanbo-23/MindView) | Project code and usage documentation |
+
+Code and usage documentation are being prepared for publication at the project repository. Loading instructions, asset manifests, and checksums will be documented with the data release.
+
+## Access and terms
+
+Resource access and redistribution terms are being finalized. Source datasets retain their own terms; the code repository's license does not establish a license for the dataset assets. Please refer to the release terms before using or redistributing the eventual files.
+
+For project questions, contact [Yihao Liu](mailto:liuyihao@pjlab.org.cn) or [Jiwen Lu](mailto:lujiwen@tsinghua.edu.cn).