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Recently, a research team has released a new image super resolution (SR) technology based on Diffusion Inversion, aimed at enhancing image resolution and clarity by fully utilizing the image prior information within large pre-trained diffusion models. This research was jointly completed by three scholars from different academic institutions, who aim to bring new breakthroughs to the field of image super resolution. In this technology, the researchers designed a method called 'Partial Noise Prediction'.

Are you still troubled by unclear photos? A brand new image super-resolution tool called InvSR has emerged, allowing images to be instantly transformed into clear and sharp ones with minimal processing steps. The strength of this tool lies in its utilization of the rich prior knowledge embedded in large pre-trained diffusion models, achieving efficient and high-quality image resolution enhancement. The core technology of InvSR is its innovative partial noise prediction strategy. It cleverly constructs the intermediate state of the diffusion model as the starting point for the sampling process and employs a deep noise.