README.md

metadata

pretty_name: FreeStyle Bench
task_categories:
  - image-to-image
  - text-to-image
language:
  - en
tags:
  - benchmark
  - style-transfer
  - image-editing
  - cref
  - sref

FreeStyle Bench

This repository contains benchmark inputs for evaluating FreeStyle reference-based image editing.

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

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.

The keys in prompts.json are pair basenames. A key can be used to match the corresponding content and style reference images across the two folders.

For example, if prompts.json contains a key:

example_pair

then the corresponding files should be found by matching the same basename under:

sref_bench/cref/example_pair.*
sref_bench/sref/example_pair.*

where the image extension may depend on the actual uploaded files.

cref_sref_bench

cref_sref_bench is the content-and-style dual-reference benchmark.

It has the same structure as sref_bench:

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

Again, each key in prompts.json is a pair basename and can be used to align the content reference image in cref/ with the style reference image in sref/.

How To Read A Pair

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/.
• Use sref_bench for style-transfer evaluation.
• Use cref_sref_bench for dual-reference content-and-style evaluation.