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  1. 17 hours ago · The super-resolution reconstruction model proposed in this paper can extract more comprehensive image information, and at the same time, it can obtain more accurate edge information to enhance the ...

  2. 4 days ago · The scope of the attack is then to mislead the deepfake detector and make the false negative rate increase. The SR process, in an attempt to improve the resolution of an image, could smooth the artifacts introduced by some deepfake generation techniques, thus undermining the learning performed by the deepfake detection model.

  3. 5 days ago · Consequently, JSFR-AR-SIM produces high-quality, super-resolution images with minimal artifacts, and the reconstruction speed is increased. We anticipate this algorithm to facilitate SR-SIM becoming a routine tool in biomedical laboratories.

  4. A taxonomy for deep learningbased super-resolution networks is introduced that groups existing methods into nine categories including linear, residual, multi-branch, recursive, progressive, attention-based, and adversarial designs.

  5. 5 days ago · In this Viewpoint, experts discuss resolution and common trade-offs in super-resolution microscopy, aiming to improve how biologists use the technology.

  6. 5 days ago · Semantic Scholar is a free, AI-powered research tool for scientific literature, based at the Allen Institute for AI. Learn More

  7. 5 days ago · This paper introduces a framework optimised for the joint task of focal deblurring (refocusing) and video super-resolution (VSR) and proposes a novel technique for generating synthetic focal blur data, broadening the model's learning capabilities to include a wider array of content. In many real-world scenarios, recorded videos suffer from accidental focus blur, and while video deblurring ...

  1. Searches related to artifacts introduced by ai-based super-resolution

    artifacts introduced by ai-based super-resolution (hallucinated details)