mlsanityData to 7 Oct 2026

AnimeRun: 2D Animation Visual Correspondence from Open Source 3D Movies

arXiv 2211.05709 ↗First posted 10 Nov 2022cs.CVcited by 11

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Abstract (arXiv)

Existing correspondence datasets for two-dimensional (2D) cartoon suffer from simple frame composition and monotonic movements, making them insufficient to simulate real animations. In this work, we present a new 2D animation visual correspondence dataset, AnimeRun, by converting open source three-dimensional (3D) movies to full scenes in 2D style, including simultaneous moving background and interactions of multiple subjects. Our analyses show that the proposed dataset not only resembles real anime more in image composition, but also possesses richer and more complex motion patterns compared to existing datasets. With this dataset, we establish a comprehensive benchmark by evaluating several existing optical flow and segment matching methods, and analyze shortcomings of these methods on animation data. Data, code and other supplementary materials are available at https://lisiyao21.github.io/projects/AnimeRun.

Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). Builds on 27 of its 43 references that are in the map. First posted on arXiv 10 Nov 2022.

Builds on

27 of 43 references.

References · 27

  1. 2014Adam: A Method for Stochastic Optimizationcited by 36,960
  2. 2020RAFT: Recurrent All-Pairs Field Transforms for Optical Flowcited by 2,385
  3. 2019SuperGlue: Learning Feature Matching with Graph Neural Networkscited by 1,437
  4. 2015FlowNet: Learning Optical Flow with Convolutional Networkscited by 1,054
  5. 2017PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volumecited by 966
  6. 2015A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimationcited by 878
  7. 2016Virtual Worlds as Proxy for Multi-Object Tracking Analysiscited by 340
  8. 2021GMFlow: Learning Optical Flow via Global Matchingcited by 324
  9. 2017Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolationcited by 321
  10. 2020Softmax Splatting for Video Frame Interpolationcited by 276
  11. 2021Learning to Estimate Hidden Motions with Global Motion Aggregationcited by 223
  12. 2017Video Frame Interpolation via Adaptive Separable Convolutioncited by 211
15 more
  1. 2020Real-Time Intermediate Flow Estimation for Video Frame Interpolationcited by 211
  2. 2017Video Frame Synthesis using Deep Voxel Flowcited by 209
  3. 2017Playing for Benchmarkscited by 169
  4. 2018Context-aware Synthesis for Video Frame Interpolationcited by 153
  5. 2019Quadratic video interpolationcited by 143
  6. 2019Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimationcited by 131
  7. 2021AutoFlow: Learning a Better Training Set for Optical Flowcited by 102
  8. 2016Fast Optical Flow using Dense Inverse Searchcited by 70
  9. 2021Deep Animation Video Interpolation in the Wildcited by 65
  10. 2022Global Matching with Overlapping Attention for Optical Flow Estimationcited by 64
  11. 2020Enhanced Quadratic Video Interpolationcited by 48
  12. 2018Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimationcited by 38
  13. 2022Learning Optical Flow with Adaptive Graph Reasoningcited by 33
  14. 2021The Animation Transformer: Visual Correspondence via Segment Matchingcited by 20
  15. 2021Improving the Perceptual Quality of 2D Animation Interpolationcited by 20

Built on by

Cited by year

Citing papers per year: 2023: 1; 2024: 5; 2025: 5.

11 papers.

  1. 2024Beyond FVD: Enhanced Evaluation Metrics for Video Generation Qualitycited by 21
  2. 2025Generative AI for Cel-Animation: A Surveycited by 17
  3. 2024APISR: Anime Production Inspired Real-World Anime Super-Resolutioncited by 16
  4. 2024Learning Inclusion Matching for Animation Paint Bucket Colorizationcited by 14
  5. 2023Deep Geometrized Cartoon Line Inbetweeningcited by 9
  6. 2025AnimeGamer: Infinite Anime Life Simulation with Next Game State Predictioncited by 7
  7. 2024Promptus: Can Prompts Streaming Replace Video Streaming with Stable Diffusioncited by 3
  8. 2024Paint Bucket Colorization Using Anime Character Color Design Sheetscited by 3
  9. 2025DACoN: DINO for Anime Paint Bucket Colorization with Any Number of Reference Imagescited by 2
  10. 2025LinkTo-Anime: A 2D Animation Optical Flow Dataset from 3D Model Renderingcited by 1
  11. 2025Region-Wise Correspondence Prediction between Manga Line Art Imagescited by 0