mlsanityData to 14 Oct 2026

DFPN: Deformable Frame Prediction Network

arXiv 2105.12794 ↗First posted 26 May 2021cs.CV eess.IVcited by 4

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Abstract (arXiv)

Learned frame prediction is a current problem of interest in computer vision and video compression. Although several deep network architectures have been proposed for learned frame prediction, to the best of our knowledge, there is no work based on using deformable convolutions for frame prediction. To this effect, we propose a deformable frame prediction network (DFPN) for task oriented implicit motion modeling and next frame prediction. Experimental results demonstrate that the proposed DFPN model achieves state of the art results in next frame prediction. Our models and results are available at https://github.com/makinyilmaz/DFPN.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 16 of its 22 references that are in the map. First posted on arXiv 26 May 2021.

Builds on

16 of 22 references.

References · 16

  1. 2014Adam: A Method for Stochastic Optimizationcited by 37,240
  2. 2018CBAM: Convolutional Block Attention Modulecited by 2,477
  3. 2017Deformable Convolutional Networkscited by 1,488
  4. 2015Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcastingcited by 1,436
  5. 2018Residual Dense Network for Image Super-Resolutioncited by 799
  6. 2019EDVR: Video Restoration with Enhanced Deformable Convolutional Networkscited by 494
  7. 2017Residual Attention Network for Image Classificationcited by 386
  8. 2018DVC: An End-to-end Deep Video Compression Frameworkcited by 332
  9. 2018TDAN: Temporally Deformable Alignment Network for Video Super-Resolutioncited by 226
  10. 2020A Review on Deep Learning Techniques for Video Predictioncited by 114
  11. 2017Learning to Generate Long-term Future via Hierarchical Predictioncited by 88
  12. 2018SDCNet: Video Prediction Using Spatially-Displaced Convolutioncited by 50
4 more
  1. 2019GRDN:Grouped Residual Dense Network for Real Image Denoising and GAN-based Real-world Noise Modelingcited by 33
  2. 2020End-to-End Rate-Distortion Optimization for Bi-Directional Learned Video Compressioncited by 8
  3. 2020Can Learned Frame-Prediction Compete with Block-Motion Compensation for Video Coding?cited by 4
  4. 2020Effect of Architectures and Training Methods on the Performance of Learned Video Frame Predictioncited by 4

Built on by

Cited by year

Citing papers per year: 2022: 1; 2023: 0; 2024: 2; 2025: 1.

4 papers.

  1. 2024The Power of Next-Frame Prediction for Learning Physical Lawscited by 2
  2. 2024Everything is a Video: Unifying Modalities through Next-Frame Predictioncited by 2
  3. 2022Multi-Field De-interlacing using Deformable Convolution Residual Blocks and Self-Attentioncited by 0
  4. 2025FG-DFPN: Flow Guided Deformable Frame Prediction Networkcited by 0