Animating Still Images
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Abstract (arXiv)
We present a method for imparting motion to a still 2D image. Our method uses deep learning to segment a section of the image denoted as subject, then uses in-painting to complete the background, and finally adds animation to the subject by embedding the image in a triangle mesh, while preserving the rest of the image.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 9 of its 11 references that are in the map. First posted on arXiv 21 Sep 2022.
Builds on
9 of 11 references.
References · 9
- 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,713
- 2017Mask R-CNNcited by 7,277
- 2016Context Encoders: Feature Learning by Inpaintingcited by 1,428
- 2018Generative Image Inpainting with Contextual Attentioncited by 580
- 2018Image Inpainting for Irregular Holes Using Partial Convolutionscited by 505
- 2022MAT: Mask-Aware Transformer for Large Hole Image Inpaintingcited by 218
- 2018Animating Arbitrary Objects via Deep Motion Transfercited by 208
- 2021Reviving Iterative Training with Mask Guidance for Interactive Segmentationcited by 163
- 2018Estimate and Replace: A Novel Approach to Integrating Deep Neural Networks with Existing Applicationscited by 21
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