mlsanityData to 7 Oct 2026

A Large-scale Film Style Dataset for Learning Multi-frequency Driven Film Enhancement

arXiv 2301.08880 ↗First posted 21 Jan 2023cs.CVcited by 22

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Abstract (arXiv)

Film, a classic image style, is culturally significant to the whole photographic industry since it marks the birth of photography. However, film photography is time-consuming and expensive, necessitating a more efficient method for collecting film-style photographs. Numerous datasets that have emerged in the field of image enhancement so far are not film-specific. In order to facilitate film-based image stylization research, we construct FilmSet, a large-scale and high-quality film style dataset. Our dataset includes three different film types and more than 5000 in-the-wild high resolution images. Inspired by the features of FilmSet images, we propose a novel framework called FilmNet based on Laplacian Pyramid for stylizing images across frequency bands and achieving film style outcomes. Experiments reveal that the performance of our model is superior than state-of-the-art techniques. The link of code and data is urlhttps://github.com/CXH-Research/FilmNet.

Key facts. Cited by 22 papers in the map (data through 7 Oct 2026). Builds on 16 of its 33 references that are in the map. First posted on arXiv 21 Jan 2023.

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16 of 33 references.

References · 16

  1. 2016Layer Normalizationcited by 5,579
  2. 2017Squeeze-and-Excitation Networkscited by 4,763
  3. 2014Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognitioncited by 719
  4. 2022Simple Baselines for Image Restorationcited by 701
  5. 2020Zero-Reference Deep Curve Estimation for Low-Light Image Enhancementcited by 541
  6. 2019Pay Less Attention with Lightweight and Dynamic Convolutionscited by 211
  7. 2017Deep Bilateral Learning for Real-Time Image Enhancementcited by 200
  8. 2020Learning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-timecited by 163
  9. 2020DeepLPF: Deep Local Parametric Filters for Image Enhancementcited by 107
  10. 2019Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GANcited by 102
  11. 2021High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Networkcited by 61
  12. 2022SepLUT: Separable Image-adaptive Lookup Tables for Real-time Image Enhancementcited by 50
4 more
  1. 2021StarEnhancer: Learning Real-Time and Style-Aware Image Enhancementcited by 32
  2. 2022Degradation-invariant Enhancement of Fundus Images via Pyramid Constraint Networkcited by 18
  3. 2022Shadow-Aware Dynamic Convolution for Shadow Removalcited by 11
  4. 2022Neural Color Operators for Sequential Image Retouchingcited by 8

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Citing papers per year: 2023: 5; 2024: 11; 2025: 4; 2026: 2.

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  1. 2024DOPRA: Decoding Over-accumulation Penalization and Re-allocation in Specific Weighting Layercited by 27
  2. 2024Dual-Hybrid Attention Network for Specular Highlight Removalcited by 18
  3. 2023Devignet: High-Resolution Vignetting Removal via a Dual Aggregated Fusion Transformer With Adaptive Channel Expansioncited by 17
  4. 2024MFDNet: Multi-Frequency Deflare Network for Efficient Nighttime Flare Removalcited by 16
  5. 2024SMAFormer: Synergistic Multi-Attention Transformer for Medical Image Segmentationcited by 14
  6. 2024Test-Time Intensity Consistency Adaptation for Shadow Detectioncited by 11
  7. 2023DocDeshadower: Frequency-Aware Transformer for Document Shadow Removalcited by 9
  8. 2023UWFormer: Underwater Image Enhancement via a Semi-Supervised Multi-Scale Transformercited by 9
  9. 2024Implicit Multi-Spectral Transformer: An Lightweight and Effective Visible to Infrared Image Translation Modelcited by 6
  10. 2025LensNet: An End-to-End Learning Framework for Empirical Point Spread Function Modeling and Lensless Imaging Reconstructioncited by 6
  11. 2024QEAN: Quaternion-Enhanced Attention Network for Visual Dance Generationcited by 4
  12. 2024Multi-modal Mood Reader: Pre-trained Model Empowers Cross-Subject Emotion Recognitioncited by 4
10 more
  1. 2023CLIP Guided Image-perceptive Prompt Learning for Image Enhancementcited by 3
  2. 2025CameraMaster: Unified Camera Semantic-Parameter Control for Photography Retouchingcited by 3
  3. 2023ShaDocFormer: A Shadow-Attentive Threshold Detector With Cascaded Fusion Refiner for Document Shadow Removalcited by 2
  4. 2024UIE-UnFold: Deep Unfolding Network with Color Priors and Vision Transformer for Underwater Image Enhancementcited by 2
  5. 2025DLEN: Dual Branch of Transformer for Low-Light Image Enhancement in Dual Domainscited by 2
  6. 2024Medical Visual Prompting (MVP): A Unified Framework for Versatile and High-Quality Medical Image Segmentationcited by 0
  7. 2024Adaptive Query Prompting for Multi-Domain Landmark Detectioncited by 0
  8. 2025Forestpest-YOLO: A High-Performance Detection Framework for Small Forestry Pestscited by 0
  9. 2026ProMist-5K: A Comprehensive Dataset for Digital Emulation of Cinematic Pro-Mist Filter Effectscited by 0
  10. 2026SmartPhotoCrafter: Unified Reasoning, Generation and Optimization for Automatic Photographic Image Editingcited by 0