#Image Enhancement

Discover AI Image Signal Processing (ISP) innovations that elevate computational photography. Key features include cutting-edge multi-lens bokeh rendering, advanced perceptual enhancement for real-time smartphone imaging, and novel RAW image reconstruction techniques. Highlights include LPIENet, optimized for efficient real-time image enhancement. Explore model-based image signal processors that revolutionize image restoration, denoising, and HDR correction, offering significant advancements in digital photography.

Explore this well-structured repository of key papers and codes from ECCV2024 and ECCV2020 that address various low-level vision tasks such as super-resolution, image de-raining, dehazing, and more. The collection supports the research community by encouraging contributions through stars, forks, and PRs, making it a valuable tool for advancing computer vision studies without biased promotion.

Utilize VSET's Windows-based video enhancement tool with Vapoursynth integration for superior resolution. The open-source version 3.2.2 supports Intel, AMD, and NVIDIA graphics, featuring super-resolution for anime and live-action videos, advanced frame interpolation, and a full suite of video processing for subtitles and audio. Updates include new preview capability, improved output metrics, and more encoder options. Download from the official GitHub page to avoid unauthorized copies and connect with a growing user community for ongoing tool enhancements.

This curated collection offers a detailed overview of significant research papers and code from CVPR conferences held in 2024, 2021, and 2020. It focuses on low-level vision tasks, including but not limited to super-resolution, de-raining, dehazing, deblurring, denoising, image restoration and enhancement, as well as inpainting and interpolation. Targeted at researchers and professionals in the field, the repository presents essential tools and knowledge for advancing image processing techniques. By engaging with the content through actions like starring or contributing, users can help drive collaborative development and progress within the community.

UpscalerJS is a versatile open-source tool for enhancing images with AI and JavaScript across browsers and Node environments. It features pretrained models for resolution enhancement, denoising, and deblurring for consistent, high-quality outcomes on various devices. Comprehensive documentation and custom model integration support facilitate seamless adaptation for developers seeking improved image quality in diverse interfaces.

The repository provides an extensive overview of methodologies in low-level vision tasks such as image restoration, super-resolution, deraining, and dehazing. It includes noteworthy models like MambaIR, RSDehamba, and MambaCSR, recognized by conferences including ECCV, ACM MM, and NeurIPS 2024. This collection is a valuable asset for those seeking to improve image quality using state-of-the-art state-space models.