Benchmark RadarAI BENCHMARK PROFILE
S2R-Bench
S2R-Bench evaluates video reflection removal, supporting full-reference and human perceptual assessment, and is used to validate the S2R-Removal model.
- Released
- 2026-08-12
- Readiness
- Inspectable
- Primary field
- General AI
Why it matters
Addresses the lack of benchmarks for video reflection removal, providing a dedicated evaluation protocol that includes both synthetic and real-world scenarios, which is crucial for advancing this under-explored task.
Motivation
Videos captured through glass often contain reflections that degrade visual quality and interfere with downstream vision tasks.
Primary resources
Benchmark Radar records only publicly supported details and links back to primary sources for verification.