S2R-Bench

S2R-Bench is a real-world video reflection removal benchmark introduced in From Synthesis to Removal: Physics-Grounded Reflection Simulation and Diffusion-Based Video Dereflection. It evaluates whether a video dereflection method can recover a temporally consistent transmission layer from videos recorded through reflective glass.

The benchmark contains two complementary test sets:

• S2R-Ref: 60 real captured video pairs constructed from the DRR dataset, each containing a reflection-contaminated input and its reflection-free transmission-layer ground truth.
• S2R-Real: 50 in-the-wild reflection-contaminated videos without ground truth, intended for qualitative and no-reference evaluation.

Attention: S2R-Ref is constructed from the training split of the DRR dataset. Therefore, it may not provide an accurate measure of generalization for methods trained on DRR, as those methods may have seen the underlying training data during development. Results on S2R-Ref should be interpreted with this potential data overlap in mind.

Dataset Details

Video reflection removal separates a video recorded through glass into a desired transmission layer and an unwanted reflection layer. In addition to the challenges of single-image reflection removal, a video method must preserve temporal consistency under camera motion, scene motion, spatially varying reflections, blur, ghosting, and different reflection strengths.

Subset	Input videos	Ground truth	Primary use
S2R-Ref	60	60 paired transmission videos	Full-reference quantitative and qualitative evaluation
S2R-Real	50	Not available	Real-world qualitative and no-reference evaluation

Qualitative Examples

S2R-Ref

Qualitative comparison on the S2R-Ref benchmark. Image from the project homepage.

S2R-Real

Qualitative comparison on the S2R-Real benchmark. Image from the project homepage.

• Homepage: https://codingwzp.github.io/VideoDereflection_S2R/
• Paper: https://arxiv.org/abs/2608.11562
• Task: Video reflection removal / video dereflection
• License: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)

Dataset Structure

S2R-Bench/
|-- S2R-Ref/
|   |-- blended/                 # Reflection-contaminated input videos
|   `-- transmission_layer/      # Paired reflection-free ground truth
`-- S2R-Real/
    `-- blended/                 # In-the-wild input videos without ground truth

For S2R-Ref, an input video and its ground-truth transmission video share the same filename:

S2R-Ref/blended/DSC_0006.mp4
S2R-Ref/transmission_layer/DSC_0006.mp4

Use the filename stem as the sample identifier when matching predictions to ground truth. Each file in S2R-Real/blended/ is an independent test sequence.

Citation

If you use S2R-Bench, please cite the S2R paper:

@article{wang2026s2r,
  title   = {From Synthesis to Removal: Physics-Grounded Reflection Simulation and Diffusion-Based Video Dereflection},
  author  = {Wang, Zepeng and Hu, Jiagao and Li, Fuhao and Chen, Yuxuan and Wang, Fei and Zhou, Daiguo},
  journal = {arXiv preprint arXiv:2608.11562},
  year    = {2026}
}