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cs.CV2025
Scaling Learned Image Compression Models up to 1 Billion
Yuqi Li, Haotian Zhang, Li Li +2
Recent advances in large language models (LLMs) highlight a strong connection between intelligence and compression. Learned image compression, a fundamental task in modern data com…
eess.IV2025
Learned Image Compression with Hierarchical Progressive Context Modeling
Yuqi Li, Haotian Zhang, Li Li +1
Context modeling is essential in learned image compression for accurately estimating the distribution of latents. While recent advanced methods have expanded context modeling capac…
cs.MM2025
Learning Switchable Priors for Neural Image Compression
Haotian Zhang, Yuqi Li, Li Li +1
Neural image compression (NIC) usually adopts a predefined family of probabilistic distributions as the prior of the latent variables, and meanwhile relies on entropy models to est…