A5103280360- Natural Language Processing Techniques
- Handwritten Text Recognition Techniques
- Image Enhancement Techniques
- Video Surveillance and Tracking Methods
- Video Analysis and Summarization
- Advanced Image Fusion Techniques
Visibility in hazy nighttime scenes is frequently reduced by multiple factors, including low light, intense glow, light scattering, and the presence of multicolored sources. Existing dehazing methods often struggle with handling glow or low-light conditions, resulting either excessively dark visuals unsuppressed outputs. In this paper, we enhance visibility from a single haze image suppressing enhancing regions. To handle effects, our framework learns rendered pairs. Specifically, source...
This work demonstrates that diffusion models can achieve font-controllable multilingual text rendering using just raw images without font label annotations. Visual remains a significant challenge. While recent methods condition on glyphs, it is impossible to retrieve exact annotations from large-scale, real-world datasets, which prevents user-specified control. To address this, we propose data-driven solution integrates the conditional model with segmentation model, utilizing masks capture...