</> Code with Papers by Syntology

Datasets › Manga109

Manga109

Introduced by Yusuke Matsui et al. in Sketch-based Manga Retrieval using Manga109 Dataset1 Jan 2015 archive 2025-07-28

Manga109 has been compiled by the Aizawa Yamasaki Matsui Laboratory, Department of Information and Communication Engineering, the Graduate School of Information Science and Technology, the University of Tokyo. The compilation is intended for use in academic research on the media processing of Japanese manga. Manga109 is composed of 109 manga volumes drawn by professional manga artists in Japan. These manga were commercially made available to the public between the 1970s and 2010s, and encompass a wide range of target readerships and genres (see the table in Explore for further details.) Most of the manga in the compilation are available at the manga library “Manga Library Z” (formerly the “Zeppan Manga Toshokan” library of out-of-print manga).

Source: Manga109 Image Source: https://arxiv.org/pdf/1510.04389v1.pdf

HomepageBenchmarksPapers JSON

Benchmarks archive 2025-07-28

All 12 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Image Super-Resolution Manga109 - 4x upscaling Hi-IR-L SSIM 0.9366 Hierarchical Information Flow for Generalized Efficient... — 50 Compare
Image Super-Resolution Manga109 - 2x upscaling Hi-IR-L PSNR 41.22 Hierarchical Information Flow for Generalized Efficient... — 21 Compare
Image Super-Resolution Manga109 - 3x upscaling Hi-IR-L PSNR 36.12 Hierarchical Information Flow for Generalized Efficient... — 17 Compare
Object Detection Manga109-s 15test YOLOX-L COCO-style AP 70.2 USB: Universal-Scale Object Detection Benchmark shinya7y/UniverseNet 15 Compare
Image Super-Resolution Manga109 - 8x upscaling DBPN-RES-MR64-3 PSNR 25.71 Deep Back-Projection Networks for Single Image Super-resolution alterzero/DBPN-Pytorch +6 5 Compare
Blind Super-Resolution Manga109 - 2x upscaling DCLS PSNR 38.31 Deep Constrained Least Squares for Blind Image Super-Resolution megvii-research/dcls-sr +1 3 Compare
Blind Super-Resolution Manga109 - 4x upscaling DCLS PSNR 30.86 Deep Constrained Least Squares for Blind Image Super-Resolution megvii-research/dcls-sr +1 3 Compare
Blind Super-Resolution Manga109 - 3x upscaling DCLS PSNR 33.54 Deep Constrained Least Squares for Blind Image Super-Resolution megvii-research/dcls-sr +1 2 Compare
Object Detection Manga109 DASS-Detector (YOLOX XL) Average Precision 87.93 Domain-Adaptive Self-Supervised Pre-Training for Face &... barisbatuhan/dass_det_inference +1 2 Compare
Body Detection Manga109 DASS-Detector (YOLOX XL) Average Precision 87.98 Domain-Adaptive Self-Supervised Pre-Training for Face &... barisbatuhan/dass_det_inference +1 1 Compare
Face Detection Manga109 DASS-Detector (YOLOX XL) Average Precision 87.88 Domain-Adaptive Self-Supervised Pre-Training for Face &... barisbatuhan/dass_det_inference +1 1 Compare
Image Super-Resolution Manga109 - 16x upscaling ABPN PSNR 21.25 Image Super-Resolution via Attention based Back... Holmes-Alan/ABPN 1 Compare

Papers archive 2025-07-28

30 shown of 46 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 300. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Progressive Focused Transformer for Single Image Super-Resolution 1 1 26 Mar 2025 ran 7 of 10 samples (3 unverified)
MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration 1 2 28 Dec 2024 not harvested
Auto-Encoded Supervision for Perceptual Image Super-Resolution 1 1 28 Nov 2024 ran 2 of 6 samples (4 unverified; 6 pointer-only for licence)
Hierarchical Information Flow for Generalized Efficient Image Restoration 0 3 27 Nov 2024 not harvested
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer 1 6 19 Aug 2024 not harvested
Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution 0 5 23 Jul 2024 not harvested
HMANet: Hybrid Multi-Axis Aggregation Network for Image Super-Resolution 1 3 8 May 2024 not harvested
DRCT: Saving Image Super-resolution away from Information Bottleneck 1 4 31 Mar 2024 ran 4 of 4 samples (0 unverified; 3 pointer-only for licence)
Transforming Image Super-Resolution: A ConvFormer-based Efficient Approach 1 1 11 Jan 2024 not harvested
Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration 2 1 12 Sep 2023 not harvested
Dual Aggregation Transformer for Image Super-Resolution 1 2 7 Aug 2023 ran 9 of 17 samples (8 unverified)
Recursive Generalization Transformer for Image Super-Resolution 1 2 11 Mar 2023 ran 9 of 12 samples (3 unverified)
Perception-Oriented Single Image Super-Resolution using Optimal Objective Estimation 1 1 24 Nov 2022 not harvested
Domain-Adaptive Self-Supervised Pre-Training for Face & Body Detection in Drawings 2 4 19 Nov 2022 not harvested
SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution 2 6 24 Aug 2022 not harvested
Activating More Pixels in Image Super-Resolution Transformer 2 6 9 May 2022 not harvested
Efficient Long-Range Attention Network for Image Super-resolution 1 1 13 Mar 2022 ran 6 of 8 samples (2 unverified)
Deep Constrained Least Squares for Blind Image Super-Resolution 2 3 15 Feb 2022 ran 0 of 6 samples (6 unverified)
SwinIR: Image Restoration Using Swin Transformer 9 1 23 Aug 2021 ran 30 of 45 samples (15 unverified; 5 pointer-only for licence)
USB: Universal-Scale Object Detection Benchmark 1 15 25 Mar 2021 not harvested
Unfolding the Alternating Optimization for Blind Super Resolution 1 2 6 Oct 2020 ran 5 of 5 samples (0 unverified; 5 pointer-only for licence)
Single Image Super-Resolution via a Holistic Attention Network 2 4 20 Aug 2020 not harvested
Sequential Hierarchical Learning with Distribution Transformation for Image Super-Resolution 0 3 19 Jul 2020 not harvested
Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining 3 3 2 Jun 2020 not harvested
Residual Feature Aggregation Network for Image Super-Resolution 0 1 1 Jun 2020 not harvested
Image Super-Resolution via Attention based Back Projection Networks 1 3 10 Oct 2019 not harvested
Lightweight Image Super-Resolution with Information Multi-distillation Network 4 3 26 Sep 2019 ran 1 of 3 samples (2 unverified)
Progressive Perception-Oriented Network for Single Image Super-Resolution 1 2 24 Jul 2019 not harvested
Gated Multiple Feedback Network for Image Super-Resolution 1 1 9 Jul 2019 not harvested
Densely Residual Laplacian Super-Resolution 1 4 28 Jun 2019 ran 2 of 4 samples (2 unverified)

The full list of 46 is in the JSON twin.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

Object DetectionImage Super-ResolutionBlind Super-ResolutionFace DetectionBody Detection

License archive 2025-07-28

Custom (Manga109: research-only, non-commercial. Manga109-s: available for commercial use under appropriate conditions.)

Modalities archive 2025-07-28

Images

Languages archive 2025-07-28

Japanese

Variants archive 2025-07-28

  • Manga109 - 4x upscaling
  • Manga109 - 2x upscaling
  • Manga109 - 3x upscaling
  • Manga109 - 8x upscaling
  • Manga109 - 16x upscaling
  • Manga109
  • Manga109-s 15test

7 variant names, as the archive lists them.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections