Abstract: Single image super-resolution (SR) aims at reconstructing high-resolution (HR) images from low-resolution (LR) ones. One of the most key issues is to recover finer image details of LR images ...

This video tutorial demonstrates how to use and leverage 3 key new features found under the Effects tab in Adobe Media Encoder CC (which replaces the much more limited Filters tab in Adobe Media ...

Support for PIL library image input (path) instead of Base64 encoding. For example, when using models with transformers library, I provide images this way img = Image.open(path).convert("RGB") which ...

Abstract: In recent years, infrared and visible image fusion (IVF) has garnered sustained attention in the field of unmanned aerial vehicle (UAV)-based remote sensing. IVF fuses information of the two ...

We are using the CLI in VSCode along with MCP servers to analyze and process experimental images from research papers. While the system successfully converts the uploaded images to Base64 format (and ...

Google has launched a new JPEG image encoder named JPEGli. This development comes after the company's previous unsuccessful attempt to replace JPG, PNG, and GIF in the picture format space WebP.

Neuroengineering faces a significant challenge: figuring out how to give artificial input to the senses that create the right perception. This is super important in neuroprosthetics, where they’re ...

Diffusion models represent a cutting-edge approach to image generation, offering a dynamic framework for capturing temporal changes in data. The UNet encoder within diffusion models has recently been ...

In the rapidly evolving landscape of text-to-image (T2I) models, a new frontier is emerging with the introduction of GlueGen. T2I models have demonstrated impressive capabilities in generating images ...