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Found 4 papers, 1 papers with code
ComNeck: Bridging Compressed Image Latents and Multimodal LLMs via Universal Transform-Neck
MLLMs have extended the success of large language models to modalities (e. g. images) beyond text, but their billion scale hinders deployment on resource-constrained end devices.
Transformer-based Image Compression with Variable Image Quality Objectives
This paper presents a Transformer-based image compression system that allows for a variable image quality objective according to the user's preference.
TransTIC: Transferring Transformer-based Image Compression from Human Perception to Machine Perception
This work aims for transferring a Transformer-based image compression codec from human perception to machine perception without fine-tuning the codec.
Learned Hierarchical B-frame Coding with Adaptive Feature Modulation for YUV 4:2:0 Content
Most learned video codecs operate internally in the RGB domain for P-frame coding.
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