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Video super-resolution based on deep learning: a comprehensive survey
Video super-resolution (VSR) is reconstructing high-resolution videos from low resolution
ones. Recently, the VSR methods based on deep neural networks have made great …
ones. Recently, the VSR methods based on deep neural networks have made great …
Generative adversarial networks for spatio-temporal data: A survey
Generative Adversarial Networks (GANs) have shown remarkable success in producing
realistic-looking images in the computer vision area. Recently, GAN-based techniques are …
realistic-looking images in the computer vision area. Recently, GAN-based techniques are …
Alias-free generative adversarial networks
We observe that despite their hierarchical convolutional nature, the synthesis process of
typical generative adversarial networks depends on absolute pixel coordinates in an …
typical generative adversarial networks depends on absolute pixel coordinates in an …
Id-animator: Zero-shot identity-preserving human video generation
Generating high-fidelity human video with specified identities has attracted significant
attention in the content generation community. However, existing techniques struggle to …
attention in the content generation community. However, existing techniques struggle to …
Physics-informed computer vision: A review and perspectives
The incorporation of physical information in machine learning frameworks is opening and
transforming many application domains. Here the learning process is augmented through …
transforming many application domains. Here the learning process is augmented through …
[PDF][PDF] Detecting Deepfake Videos with Temporal Dropout 3DCNN.
While the abuse of deepfake technology has brought about a serious impact on human
society, the detection of deepfake videos is still very challenging due to their highly …
society, the detection of deepfake videos is still very challenging due to their highly …