Nov 12, 2021 · Abstract:A Transformer-based Image Compression (TIC) approach is developed which reuses the canonical variational autoencoder (VAE) ...

A Transformer-based Image Compression (TIC) approach is developed which reuses the canonical variational autoencoder (VAE) architecture with paired main.

This work aims for transferring a Transformer-based im- age compression codec from human perception to machine perception without fine-tuning the codec.

The framework is based on CompressAI, we add our networks in compressai.models.tic and compressai.layers for usage. Installation.

May 18, 2023 · It is capable of achieving variable-rate compression with a single model while supporting the region-of-interest (ROI) functionality. Inspired ...

[37] tried a swin-transformer-based image compression model. These two kinds of methods have dif- ferent advantages. CNN has the ability of local modeling,.

This work aims for transferring a Transformer-based image compression codec from human vision to machine perception without fine-tuning the codec.

Different from vision transformers in image classification, the Entroformer is highly optimized for image compression, including a top-k self-attention and a ...