Deepfake generation and detection: A benchmark and survey
Deepfake is a technology dedicated to creating highly realistic facial images and videos
under specific conditions, which has significant application potential in fields such as …
under specific conditions, which has significant application potential in fields such as …
[HTML][HTML] Video and audio deepfake datasets and open issues in deepfake technology: being ahead of the curve
Z Akhtar, TL Pendyala, VS Athmakuri - Forensic Sciences, 2024 - mdpi.com
The revolutionary breakthroughs in Machine Learning (ML) and Artificial Intelligence (AI) are
extensively being harnessed across a diverse range of domains, eg, forensic science …
extensively being harnessed across a diverse range of domains, eg, forensic science …
Df40: Toward next-generation deepfake detection
We propose a new comprehensive benchmark to revolutionize the current deepfake
detection field to the next generation. Predominantly, existing works identify top-notch …
detection field to the next generation. Predominantly, existing works identify top-notch …
Omnissr: Zero-shot omnidirectional image super-resolution using stable diffusion model
Omnidirectional images (ODIs) are commonly used in real-world visual tasks, and high-
resolution ODIs help improve the performance of related visual tasks. Most existing super …
resolution ODIs help improve the performance of related visual tasks. Most existing super …
Selective Hourglass Mapping for Universal Image Restoration Based on Diffusion Model
Universal image restoration is a practical and potential computer vision task for real-world
applications. The main challenge of this task is handling the different degradation …
applications. The main challenge of this task is handling the different degradation …
DISCO: Efficient Diffusion Solver for Large-Scale Combinatorial Optimization Problems
Combinatorial Optimization (CO) problems are fundamentally important in numerous real-
world applications across diverse industries, characterized by entailing enormous solution …
world applications across diverse industries, characterized by entailing enormous solution …
State-of-the-art AI-based Learning Approaches for Deepfake Generation and Detection, Analyzing Opportunities, Threading through Pros, Cons, and Future Prospects
The rapid advancement of deepfake technologies, specifically designed to create incredibly
lifelike facial imagery and video content, has ignited a remarkable level of interest and …
lifelike facial imagery and video content, has ignited a remarkable level of interest and …
DeS3: Adaptive Attention-Driven Self and Soft Shadow Removal Using ViT Similarity
Removing soft and self shadows that lack clear boundaries from a single image is still
challenging. Self shadows are shadows that are cast on the object itself. Most existing …
challenging. Self shadows are shadows that are cast on the object itself. Most existing …
LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restoration
Prompt-based all-in-one image restoration (IR) frameworks have achieved remarkable
performance by incorporating degradation-specific information into prompt modules …
performance by incorporating degradation-specific information into prompt modules …
BDMUIE: Underwater image enhancement based on Bayesian diffusion model
L Chen, Z Xu, C Wei, Y Xu - Neurocomputing, 2024 - Elsevier
Existing deep learning-based underwater image enhancement (UIE) methods primarily rely
on data-driven approaches that map underwater images to their enhanced counterparts …
on data-driven approaches that map underwater images to their enhanced counterparts …