DeViT: Deformed Vision Transformers in Video Inpainting

28 September 2022

Papers citing "DeViT: Deformed Vision Transformers in Video Inpainting"

8 / 8 papers shown

Title
Transformer-based Image and Video Inpainting: Current Challenges and Future Directions Omar Elharrouss Rafat Damseh Abdelkader Nasreddine Belkacem E. Badidi Abderrahmane Lakas ViT 30 2 0 28 Jun 2024
Reimagining Reality: A Comprehensive Survey of Video Inpainting Techniques Shreyank N. Gowda Yash Thakre Shashank Narayana Gowda Xiaobo Jin 29 0 0 31 Jan 2024
ProPainter: Improving Propagation and Transformer for Video Inpainting Shangchen Zhou Chongyi Li Kelvin C. K. Chan Chen Change Loy ViT 32 90 0 07 Sep 2023
UMMAFormer: A Universal Multimodal-adaptive Transformer Framework for Temporal Forgery Localization Rui Zhang Hongxia Wang Ming-han Du Hanqing Liu Yangqiaoyu Zhou Q. Zeng 29 21 0 28 Aug 2023
Deficiency-Aware Masked Transformer for Video Inpainting Yongsheng Yu Hengrui Fan Libo Zhang VGen 26 9 0 17 Jul 2023
UMIFormer: Mining the Correlations between Similar Tokens for Multi-View 3D Reconstruction Zhenwei Zhu Liying Yang Ningchi Li Chaohao Jiang Yanyan Liang 21 8 0 27 Feb 2023
Transformer-based Generative Adversarial Networks in Computer Vision: A Comprehensive Survey S. Dubey Satish Kumar Singh ViT 33 33 0 17 Feb 2023
Image Inpainting for Irregular Holes Using Partial Convolutions Guilin Liu F. Reda Kevin J. Shih Ting-Chun Wang Andrew Tao Bryan Catanzaro 142 1,913 0 20 Apr 2018