We are proud to share our source code for “Learnable Gated Temporal Shift Module for Deep Video Inpainting. Chang et al. BMVC 2019.” We developed a simple module to reduce training & testing time and model parameters for deep free-form video inpainting based on the Temporal Shift Module for action recognition. It achieves similarly good results as our previous work “Free-form Video Inpainting with 3D Gated Convolution and Temporal PatchGAN. Chang et al. arXiv 2019.” with only 33% of parameters.

GitHub: https://github.com/amjltc295/Free-Form-Video-Inpainting

Arxiv: https://arxiv.org/abs/1907.01131

Contributions and stars are welcome!