|
--- |
|
license: cc-by-4.0 |
|
task_categories: |
|
- text-to-image |
|
pretty_name: REVISION_GENERATOR |
|
language: |
|
- en |
|
--- |
|
# REVISION: Rendering Tools Enable Spatial Fidelity in Vision-Language Models (ECCV 2024) |
|
|
|
<img src="./misc/revision_genenator.png" width="80%" height="80%"/> |
|
|
|
|
|
This is the official dataset of the REVISION framework with all the corresponding assets (i.e. objects, backgrounds, and floors). |
|
|
|
|
|
## ⚒️ Requirements |
|
|
|
REVISION requires [blenderproc](https://github.com/DLR-RM/BlenderProc). Simply install it with pip: |
|
|
|
``` |
|
pip install blenderproc |
|
``` |
|
|
|
## 👁️ Single Test Run |
|
|
|
<img src="./misc/spatial_rel.png" width="80%" height="80%"/> |
|
|
|
To generate a two-object reference image deterministically on your own, you may invoke one of the 4 blenderproc scripts in `util/`. E.g., to generate a scene of 'an **apple** *to the left* of a **banana**' in an indoor background, you may use |
|
|
|
``` |
|
blenderproc run util/blender_left_right_floor.py apple banana background/photo_studio_loft_hall_2k.hdr output/debug/ 0 0 |
|
|
|
``` |
|
The command above is equivalent for generating 'a **banana** *to the right* of an **apple**' in an indoor background. |
|
|
|
## 🏃 Batched Test Run |
|
|
|
We also provide ``revision_gen_sample_t2i_comp.sh`` or `` revision_gen_sample_mscoco.sh`` to synthesize a sample batch of REVISION reference images in hdf5 format. You may then visualize the reference images with: |
|
|
|
``` |
|
blenderproc vis hdf5 <path_to_ref_images>/<image_name>.hdf5 |
|
``` |
|
|
|
## 🖼️ Sample rendered outputs |
|
|
|
For convenience, we also have provided rendered outputs in PNG format for all two-object-pairs in MSCOCO or those specified in T2I-CompBench. These images are also the ones used in the RevQA Benchmark. Please find out more under the folder [sample_output/](https://huggingface.co/datasets/revision-t2i/revision-generator/tree/main/sample_output) . |
|
|
|
## 🤝🏼 Citation |
|
|
|
```bibtex |
|
@misc{chatterjee2024revisionrenderingtoolsenable, |
|
title={REVISION: Rendering Tools Enable Spatial Fidelity in Vision-Language Models}, |
|
author={Agneet Chatterjee and Yiran Luo and Tejas Gokhale and Yezhou Yang and Chitta Baral}, |
|
year={2024}, |
|
eprint={2408.02231}, |
|
archivePrefix={arXiv}, |
|
primaryClass={cs.CV}, |
|
url={https://arxiv.org/abs/2408.02231}, |
|
} |
|
``` |
|
|
|
## 💖 Acknowledgement |
|
|
|
The floor textures and the object models are sourced and modified from [sketchfab.com](https://sketchfab.com). The textured background assets are sourced from [polyhaven.com](http://polyhaven.com). All assets are shared in accordance with [CC-BY-4.0 License](https://creativecommons.org/licenses/by/4.0/deed.en#:~:text=https%3A//creativecommons.org/licenses/by/4.0/). |
