Analyze this repository specifically for benchmark integrity and anti-mimicry evaluation quality.
Create GitHub issues for:
- proxy metrics that may not reflect real anti-mimicry strength
- misleading benchmark framing
- missing ground-truth LoRA/DreamBooth evaluation
- weak robustness testing (resize, JPEG, blur, crop)
- dataset split risks
- missing reproducibility details
- weak comparison methodology
For each issue, include:
- Title
- What is wrong with the benchmark
- Why it can mislead users
- Evidence from the repo
- Proposed benchmark upgrade
- Acceptance criteria
- Labels
Be strict and technical.
Analyze this repository specifically for benchmark integrity and anti-mimicry evaluation quality.
Create GitHub issues for:
For each issue, include:
Be strict and technical.