Higher Resolution Image

Generating higher-resolution images is a significant challenge in computer vision, with research focusing on improving the quality and efficiency of image synthesis methods. Current efforts leverage diffusion models, often incorporating architectural modifications like specialized transformers or state-space models, and exploring training strategies such as progressive upsampling or multi-resolution training to overcome limitations of existing models. These advancements aim to produce higher-fidelity images at significantly increased resolutions, impacting diverse applications from medical imaging analysis to creative content generation.