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Ali Zafari

2 accepted papers

2025

Zero-shot Denoising via Neural Compression: Theoretical and algorithmic framework

NeurIPS 2025spotlight

Zero-shot denoising aims to denoise observations without access to training samples or clean reference images. This setting is particularly relevant in practical imaging scenarios involving specialized domains such as medical imaging or biology. In this work, we propose the *Zero-Shot Neural Compre…

Cited by 0SourcecodeScholar
2024

Laplacian-guided Entropy Model in Neural Codec with Blur-dissipated Synthesis

CVPR 2024poster

While replacing Gaussian decoders with a conditional diffusion model enhances the perceptual quality of reconstructions in neural image compression their lack of inductive bias for image data restricts their ability to achieve state-of-the-art perceptual levels. To address this limitation we adopt a…