MS-ILLM
PulseAugur coverage of MS-ILLM — every cluster mentioning MS-ILLM across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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PerQ reframes image compression with inverse generative modeling
Researchers have introduced PerQ, a novel approach to neural image compression that addresses the trade-off between pixel fidelity and perceptual quality. PerQ reframes perceptual reconstruction as inverse generative mo…
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PULSE image compression achieves low-latency CPU decoding via human-LLM collaboration
Researchers have developed PULSE, a novel image compression method designed for efficient decoding on single-thread CPUs. The system utilizes an ultra-low-complexity neural receiver and an integer linear CDF predictor f…
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ProGIC offers lightweight, progressive image compression
Researchers have developed ProGIC, a new generative image compression method that uses residual vector quantization for progressive, lightweight compression. This approach allows for a coarse-to-fine reconstruction and …
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New image compression method removes entropy coding for faster performance
Researchers have developed a new method for learned image compression called EF-LIC, which eliminates the need for traditional entropy coding. This approach significantly reduces coding latency by removing statistical a…