Collaborative Neural Rendering using Anime Character Sheets
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Abstract (arXiv)
Drawing images of characters with desired poses is an essential but laborious task in anime production. Assisting artists to create is a research hotspot in recent years. In this paper, we present the Collaborative Neural Rendering (CoNR) method, which creates new images for specified poses from a few reference images (AKA Character Sheets). In general, the diverse hairstyles and garments of anime characters defies the employment of universal body models like SMPL, which fits in most nude human shapes. To overcome this, CoNR uses a compact and easy-to-obtain landmark encoding to avoid creating a unified UV mapping in the pipeline. In addition, the performance of CoNR can be significantly improved when referring to multiple reference images, thanks to feature space cross-view warping in a carefully designed neural network. Moreover, we have collected a character sheet dataset containing over 700,000 hand-drawn and synthesized images of diverse poses to facilitate research in this area. Our code and demo are available at https://github.com/megvii-research/IJCAI2023-CoNR.
Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 48 of its 75 references that are in the map. First posted on arXiv 12 Jul 2022.
Builds on
48 of 75 references.
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Built on by
Citing papers per year: 2023: 3; 2024: 2; 2025: 3.
8 papers.
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- 2023Human-Art: A Versatile Human-Centric Dataset Bridging Natural and Artificial Scenescited by 68
- 2025Generative AI for Cel-Animation: A Surveycited by 17
- 2023PAniC-3D: Stylized Single-view 3D Reconstruction from Portraits of Anime Characterscited by 16
- 2024One missing piece in Vision and Language: A Survey on Comics Understandingcited by 8
- 2025ViStoryBench: Comprehensive Benchmark Suite for Story Visualizationcited by 2
- 2023Talking Head(?) Anime from a Single Image 4: Improved Model and Its Distillationcited by 0
- 2025Learning High-Fidelity Cloth Animation via Skinning-Free Image Transfercited by 0
- 2025Learning High-Fidelity Cloth Animation via Skinning-Free Image Transfer5 Dec 2025
- 2025ViStoryBench: Comprehensive Benchmark Suite for Story Visualization30 May 2025
- 2025Generative AI for Cel-Animation: A Survey8 Jan 2025
- 2024One missing piece in Vision and Language: A Survey on Comics Understanding14 Sep 2024
- 2024ControlNeXt: Powerful and Efficient Control for Image and Video Generation12 Aug 2024
- 2023Talking Head(?) Anime from a Single Image 4: Improved Model and Its Distillation29 Nov 2023
- 2023PAniC-3D: Stylized Single-view 3D Reconstruction from Portraits of Anime Characters25 Mar 2023
- 2023Human-Art: A Versatile Human-Centric Dataset Bridging Natural and Artificial Scenes5 Mar 2023