RealBokeh 3MP is a dataset presented in the paper 'Bokehlicious: Photorealistic Bokeh Rendering with Controllable Apertures' at ICCV 2025. The dataset likely contains images for training and evaluating photorealistic bokeh rendering models. It was created by Tim Seizinger and collaborators and was last updated on October 16, 2025.
Use Cases
- Train photorealistic bokeh rendering models based on the described image data.
- Evaluate the performance of bokeh synthesis algorithms based on the dataset's ground truth.
- Develop controllable aperture effects in image processing pipelines based on the dataset's features.
- Benchmark computer vision models for image quality enhancement tasks.
Strengths
- Dataset is associated with a peer-reviewed ICCV 2025 paper, suggesting academic rigor.
- Last updated on October 16, 2025, indicating recent maintenance.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- timseizinger
- Freshness
- Last updated 2025-10-16 09:40:01.