ProMist-5K:用于数字模拟电影Pro-Mist滤镜效果的综合数据集
ProMist-5K: A Comprehensive Dataset for Digital Emulation of Cinematic Pro-Mist Filter Effects
AI总结:
ProMist-5K数据集通过物理启发的方法提供高分辨率图像对,用于数字模拟电影中Pro-Mist滤镜效果,支持多种图像转换模型和学习方法。
摘要:
Pro-Mist滤镜在电影摄影中广泛应用,因其能够创造柔和的光晕、降低对比度,并产生独特的、氛围化的风格。由于光扩散的复杂行为,这些效果在数字领域难以再现。我们提出了ProMist-5K数据集,旨在支持电影风格的模拟。该数据集采用物理启发的管道在场景参照线性空间中构建,包含20,000对高分辨率图像,覆盖四种配置,包括两种滤光密度(1/2和1/8)和两种焦距(20mm和50mm)。与通用风格数据集不同,ProMist-5K专注于逼真光晕和高光扩散效果。通过多个模糊层和精心调整的加权,模型了光学扩散的强度和扩散范围的变化。该数据集提供了一致且可控的目标领域,支持各种图像转换模型和学习范式。实验表明,该数据集在不同训练设置下表现良好,有助于捕捉微妙和强烈的电影外观。ProMist-5K为电影启发的图像转换提供了实用且物理基础的资源,弥合了数字灵活性与传统镜头美学之间的差距。该数据集可在https://www.kaggle.com/datasets/yingtielei/promist5k获取。
英文摘要:
Pro-Mist filters are widely used in cinematography for their ability to create soft halation, lower contrast, and produce a distinctive, atmospheric style. These effects are difficult to reproduce digitally due to the complex behavior of light diffusion. We present ProMist-5K, a dataset designed to support cinematic style emulation. It is built using a physically inspired pipeline in a scene-referred linear space and includes 20,000 high-resolution image pairs across four configurations, covering two filter densities (1/2 and 1/8) and two focal lengths (20mm and 50mm). Unlike general style datasets, ProMist-5K focuses on realistic glow and highlight diffusion effects. Multiple blur layers and carefully tuned weighting are used to model the varying intensity and spread of optical diffusion. The dataset provides a consistent and controllable target domain that supports various image translation models and learning paradigms. Experiments show that the dataset works well across different training settings and helps capture both subtle and strong cinematic appearances. ProMist-5K offers a practical and physically grounded resource for film-inspired image transformation, bridging the gap between digital flexibility and traditional lens aesthetics. The dataset is available at https://www.kaggle.com/datasets/yingtielei/promist5k.
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