Fetching the paper…
Reading the bibliography…
Animation line inbetweening is a crucial step in animation production aimed at enhancing animation fluidity by predicting intermediate line arts between two key frames.
Principal warps: Thin-plate splines and the decomposition of deformations
Fred L. Bookstein · 1989
Earlier work this paper cites.
Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P Simoncelli · 2004
Earlier work this paper cites.
Fast and robust earth mover’s distances
Ofir Pele and Michael Werman · 2009
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik Kingma and Jimmy Ba · 2015
Earlier work this paper cites.
U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
Earlier work this paper cites.
Video frame interpolation via adaptive separable convolution
Simon Niklaus, Long Mai, and Feng Liu · 2017
Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Earlier work this paper cites.
Context-aware computer aided inbetweening
Wenwu Yang · 2017
Earlier work this paper cites.
Learning representations and generative models for 3D point clouds
Panos Achlioptas, Olga Diamanti, Ioannis Mitliagkas, and Leonidas Guibas · 2018
Earlier work this paper cites.
Super slomo: High quality estimation of multiple intermediate frames for video interpolation
Huaizu Jiang, Deqing Sun, Varun Jampani, Ming-Hsuan Yang, Erik Learned-Miller, and Jan Kautz · 2018
Earlier work this paper cites.
The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
Earlier work this paper cites.
Optical flow based line drawing frame interpolation using distance transform to support inbetweenings
Rei Narita, Keigo Hirakawa, and Kiyoharu Aizawa · 2019
Earlier work this paper cites.
Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al · 2019
Earlier work this paper cites.
Adacof: Adaptive collaboration of flows for video frame interpolation
Hyeongmin Lee, Taeoh Kim, Tae-young Chung, Daehyun Pak, Yuseok Ban, and Sangyoun Lee · 2020
Earlier work this paper cites.
Point-set distances for learning representations of 3D point clouds
Trung Nguyen, Quang-Hieu Pham, Tam Le, Tung Pham, Nhat Ho, and Binh-Son Hua · 2021
Earlier work this paper cites.
A differentiable convolutional distance transform layer for improved image segmentation
Duc Duy Pham, Gurbandurdy Dovletov, and Josef Pauli · 2021
Cited alongside, same era.
Xvfi: extreme video frame interpolation
Hyeonjun Sim, Jihyong Oh, and Munchurl Kim · 2021
Cited alongside, same era.
Deep animation video interpolation in the wild
Li Siyao, Shiyu Zhao, Weijiang Yu, Wenxiu Sun, Dimitris Metaxas, Chen Change Loy, and Ziwei Liu · 2021
Cited alongside, same era.
Seamless manga inpainting with semantics awareness
Minshan Xie, Menghan Xia, Xueting Liu, Chengze Li, and Tien-Tsin Wong · 2021
Cited alongside, same era.
User-guided line art flat filling with split filling mechanism
Lvmin Zhang, Chengze Li, Edgar Simo-Serra, Yi Ji, Tien-Tsin Wong, and Chunping Liu · 2021
Cited alongside, same era.
Improving the perceptual quality of 2D animation interpolation
Shuhong Chen and Matthias Zwicker · 2022
Make-a-video: Text-to-video generation without text-video data
Uriel Singer, Adam Polyak, Thomas Hayes, Xi Yin, Jie An, Songyang Zhang, Qiyuan Hu, Harry Yang, Oron Ashual, Oran Gafni, Devi Parikh, Sonal Gupta, and Yaniv Taigman · 2023
Later among the works it cites.
Deep geometrized cartoon line inbetweening
Li Siyao, Tianpei Gu, Weiye Xiao, Henghui Ding, Ziwei Liu, and Chen Change Loy · 2023
Later among the works it cites.
Boost video frame interpolation via motion adaptation
Haoning Wu, Xiaoyun Zhang, Weidi Xie, Ya Zhang, and Yanfeng Wang · 2023
Later among the works it cites.
Video object segmentation-aware video frame interpolation
Jun-Sang Yoo, Hongjae Lee, and Seung-Won Jung · 2023
Later among the works it cites.
Make pixels dance: High-dynamic video generation
Yan Zeng, Guoqiang Wei, Jiani Zheng, Jiaxin Zou, Yang Wei, Yuchen Zhang, and Hang Li · 2023
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Real-time intermediate flow estimation for video frame interpolation
Zhewei Huang, Tianyuan Zhang, Wen Heng, Boxin Shi, and Shuchang Zhou · 2022
Cited alongside, same era.
Eliminating gradient conflict in reference-based line-art colorization
Zekun Li, Zhengyang Geng, Zhao Kang, Wenyu Chen, and Yibo Yang · 2022
Cited alongside, same era.
Film: Frame interpolation for large motion
Fitsum Reda, Janne Kontkanen, Eric Tabellion, Deqing Sun, Caroline Pantofaru, and Brian Curless · 2022
Cited alongside, same era.
High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
Cited alongside, same era.
Flavr: Flow-agnostic video representations for fast frame interpolation
Tarun Kalluri, Deepak Pathak, Manmohan Chandraker, and Du Tran · 2023
Cited alongside, same era.
Amt: All-pairs multi-field transforms for efficient frame interpolation
Zhen Li, Zuo-Liang Zhu, Ling-Hao Han, Qibin Hou, Chun-Le Guo, and Ming-Ming Cheng · 2023
Cited alongside, same era.
Extracting motion and appearance via inter-frame attention for efficient video frame interpolation
Guozhen Zhang, Yuhan Zhu, Haonan Wang, Youxin Chen, Gangshan Wu, and Limin Wang · 2023
Later among the works it cites.
Adding conditional control to text-to-image diffusion models
Lvmin Zhang, Anyi Rao, and Maneesh Agrawala · 2023
Later among the works it cites.
Animatediff: Animate your personalized text-to-image diffusion models without specific tuning
Yuwei Guo, Ceyuan Yang, Anyi Rao, Zhengyang Liang, Yaohui Wang, Yu Qiao, Maneesh Agrawala, Dahua Lin, and Bo Dai · 2024
Closest in time.
Iq-vfi: Implicit quadratic motion estimation for video frame interpolation
Mengshun Hu, Kui Jiang, Zhihang Zhong, Zheng Wang, and Yinqiang Zheng · 2024
Closest in time.
Sparse global matching for video frame interpolation with large motion
Chunxu Liu, Guozhen Zhang, Rui Zhao, and Limin Wang · 2024
Closest in time.
T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models
Chong Mou, Xintao Wang, Liangbin Xie, Yanze Wu, Jian Zhang, Zhongang Qi, and Ying Shan · 2024
Closest in time.
Perception-oriented video frame interpolation via asymmetric blending
Guangyang Wu, Xin Tao, Changlin Li, Wenyi Wang, Xiaohong Liu, and Qingqing Zheng · 2024
Closest in time.
Tooncrafter: Generative cartoon interpolation
Jinbo Xing, Hanyuan Liu, Menghan Xia, Yong Zhang, Xintao Wang, Ying Shan, and Tien-Tsin Wong · 2024
Closest in time.
Controlvideo: Training-free controllable text-to-video generation
Yabo Zhang, Yuxiang Wei, Dongsheng Jiang, Xiaopeng Zhang, Wangmeng Zuo, and Qi Tian · 2024
Closest in time.