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Latte: Latent diffusion transformer for video generation
We propose a novel Latent Diffusion Transformer, namely Latte, for video generation. Latte
first extracts spatio-temporal tokens from input videos and then adopts a series of …
first extracts spatio-temporal tokens from input videos and then adopts a series of …
DNNAM: Image inpainting algorithm via deep neural networks and attention mechanism
Y Chen, R **a, K Yang, K Zou - Applied Soft Computing, 2024 - Elsevier
Most image inpainting algorithms have problems such as fuzzy images, texture distortion
and semantic inaccuracy, and the image inpainting effect is limited when processing photos …
and semantic inaccuracy, and the image inpainting effect is limited when processing photos …
Transformer-based image and video inpainting: current challenges and future directions
Image inpainting is currently a hot topic within the field of computer vision. It offers a viable
solution for various applications, including photographic restoration, video editing, and …
solution for various applications, including photographic restoration, video editing, and …
Hierarchical candidate recursive network for highlight restoration in endoscopic videos
Highlight restoration in endoscopic videos is crucial for enhancing the clinical value and
effectiveness of endoscopic examinations. However, as an unexplored field, it poses …
effectiveness of endoscopic examinations. However, as an unexplored field, it poses …
GSGN-TSIIG: a gradient semantics generation network-based two-stage image inpainting generator for enhanced image restoration
M Shanmugam, PD Sivakumar - Signal, Image and Video Processing, 2025 - Springer
Image inpainting is the recent hot research direction in the domain of artificial intelligence
due to its significance in image restoration. Even though the traditional image inpainting …
due to its significance in image restoration. Even though the traditional image inpainting …
Uncertainty Quantification of GAN-Based Image Inpainting of Material's Stress Fields using Monte Carlo Dropout
SR Yasin - 2024 - repositories.nust.edu.pk
This research focuses on uncertainty quantification in reconstructing incomplete mechanical
stress field maps by utilizing Generative Adversarial Networks (GANs) integrated with …
stress field maps by utilizing Generative Adversarial Networks (GANs) integrated with …