README.md

metadata

language:
  - en
license: cc-by-nc-4.0
task_categories:
  - image-to-image
  - text-to-image
pretty_name: FreeStyle Bench
tags:
  - benchmark
  - style-transfer
  - image-editing
  - cref
  - sref

FreeStyle Bench

Paper | Code | Project Page

This repository contains benchmark inputs for evaluating FreeStyle, a framework for style-content dual-reference generation.

It includes two benchmark subsets:

• sref_bench/: a style-transfer benchmark.
• cref_sref_bench/: a content-and-style dual-reference benchmark.

Both subsets use the same basic layout: a content-reference folder, a style-reference folder, and a prompts.json file that links each pair to its text prompt.

Repository Layout

<repo-root>/
  README.md
  sref_bench/
    cref/
      ... content reference images ...
    sref/
      ... style reference images ...
    prompts.json
  cref_sref_bench/
    cref/
      ... content reference images ...
    sref/
      ... style reference images ...
    prompts.json

Subset Details

sref_bench

sref_bench is the style-transfer benchmark. For each benchmark pair:

• sref_bench/cref/ contains the content reference image.
• sref_bench/sref/ contains the style reference image.
• sref_bench/prompts.json contains the text prompt or instruction for the pair.

cref_sref_bench

cref_sref_bench is the content-and-style dual-reference benchmark. It has the same structure as sref_bench, where each key in prompts.json is a pair basename used to align the content reference image with the style reference image.

Sample Usage

You can use the following code to read a benchmark pair and its associated metadata:

import json
from pathlib import Path
from PIL import Image

bench_dir = Path("/path/to/FreeStyle_Bench/sref_bench")  # or cref_sref_bench

with open(bench_dir / "prompts.json", "r", encoding="utf-8") as f:
    prompts = json.load(f)

pair_name, prompt = next(iter(prompts.items()))

# Find images by matching the pair basename. The actual extension may vary.
cref_path = next((bench_dir / "cref").glob(pair_name + ".*"))
sref_path = next((bench_dir / "sref").glob(pair_name + ".*"))

content_ref = Image.open(cref_path).convert("RGB")
style_ref = Image.open(sref_path).convert("RGB")

print("pair:", pair_name)
print("prompt:", prompt)
print("content reference:", cref_path)
print("style reference:", sref_path)

Notes

• cref means content reference.
• sref means style reference.
• prompts.json is the index file for each subset.
• The key of each prompts.json entry is the pair basename used to match images in cref/ and sref/.

Citation

@article{lan2026freestyle,
  title         = {FreeStyle: Free Control of Style-Content Dual-Reference Generation from Community LoRA Mining},
  author        = {Lan, Jinghong and Cheng, Wei and Chen, Yunuo and Ye, Ziqi and Xing, Peng and Fang, Yixiao and Wang, Rui and Yang, Yufeng and Zhang, Xuanyang and Zou, Difan and Zeng, Xianfang and Yu, Gang and Zhang, Chi},
  journal       = {arXiv preprint arXiv:2606.20506},
  year          = {2026}
}