3 papers
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…
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…
cs.CV2024
Sparse Point Clouds Assisted Learned Image Compression
Yiheng Jiang, Haotian Zhang, Li Li +2
In the field of autonomous driving, a variety of sensor data types exist, each representing different modalities of the same scene. Therefore, it is feasible to utilize data from o…