CPDM: Content-preserving diffusion model for underwater image enhancement
X Shi, YG Wang - Scientific Reports, 2024 - nature.com
Underwater image enhancement (UIE) is challenging since image degradation in aquatic
environments is complicated and changing over time. Existing mainstream methods rely on …
environments is complicated and changing over time. Existing mainstream methods rely on …
Exploiting multi-transformer encoder with multiple-hypothesis aggregation via diffusion model for 3D human pose estimation
S Arthanari, JH Jeong, YH Joo - Multimedia Tools and Applications, 2024 - Springer
The transformer architecture has consistently achieved cutting-edge performance in the task
of 2D to 3D lifting human pose estimation. Despite advances in transformer-based methods …
of 2D to 3D lifting human pose estimation. Despite advances in transformer-based methods …
MultiSpectral diffusion: joint generation of wavelet coefficients for image synthesis and upsampling
I Goudarzvand, AM Eftekhari Moghadam - Multimedia Tools and …, 2024 - Springer
Diffusion models have become a prevalent framework in deep generative modeling across
various modalities. However, despite producing high quality results, these models are …
various modalities. However, despite producing high quality results, these models are …
Combating deepfakes: a comprehensive multilayer deepfake video detection framework
Deepfakes represent a class of synthetic media crafted with the aid of advanced deep
learning techniques that exhibit an unparalleled degree of authenticity. The rapid …
learning techniques that exhibit an unparalleled degree of authenticity. The rapid …
LGAST: Towards high-quality arbitrary style transfer with local–global style learning
Arbitrary style transfer has become a research hotspot in academia, industry, and the arts.
While current methods have made great development, but there are still three challenges:(1) …
While current methods have made great development, but there are still three challenges:(1) …
Content-aware preserving image generation
Remarkable progress has been achieved in image generation with the introduction of
generative models. However, precisely controlling the content in generated images remains …
generative models. However, precisely controlling the content in generated images remains …