Latte: Latent diffusion transformer for video generation

X Ma, Y Wang, G Jia, X Chen, Z Liu, YF Li… - arxiv preprint arxiv …, 2024 - arxiv.org
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 …

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 …

Transformer-based image and video inpainting: current challenges and future directions

O Elharrouss, R Damseh, AN Belkacem… - Artificial Intelligence …, 2025 - Springer
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 …

Hierarchical candidate recursive network for highlight restoration in endoscopic videos

C Xu, J Wu, D Zhang, L Han, D Zhang, J Han - Expert Systems with …, 2025 - Elsevier
Highlight restoration in endoscopic videos is crucial for enhancing the clinical value and
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 …

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 …