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Seungeon Kim

2 accepted papers

2024

Diversify, Contextualize, and Adapt: Efficient Entropy Modeling for Neural Image Codec

NeurIPS 2024poster

Designing a fast and effective entropy model is challenging but essential for practical application of neural codecs. Beyond spatial autoregressive entropy models, more efficient backward adaptation-based entropy models have been recently developed. They not only reduce decoding time by using smalle…

Cited by 0SourcePDFScholar
2024

Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual Fidelity

ICML 2024poster

Recent advances in text-guided image compression have shown great potential to enhance the perceptual quality of reconstructed images. These methods, however, tend to have significantly degraded pixel-wise fidelity, limiting their practicality. To fill this gap, we develop a new text-guided image co…