Apr 29, 2024 · We propose a novel two-stage extreme image compression framework that exploits the powerful generative capability of pre-trained diffusion models.
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Towards Extreme Image Compression with Latent Feature Guidance and Diffusion Prior. Zhiyuan Li, Yanhui Zhou, Hao Wei, Chenyang Ge, Jingwen Jiang.
Sep 4, 2024 · In this work, we propose a novel two-stage extreme image compression framework that exploits the powerful generative capability of pre-trained ...
Oct 22, 2024 · In this work, we propose a novel two-stage extreme image compression framework that exploits the powerful generative capability of pre-trained ...
Oct 14, 2024 · Diffusion-based extreme image compression methods have achieved impressive performance at extremely low bitrates. However, constrained by the iterative ...
Sep 4, 2024 · This paper explores a new approach to extremely low-bitrate image compression using diffusion models and latent feature guidance.
Oct 6, 2024 · Diffusion-based extreme image compression methods have achieved impressive performance at extremely low bitrates.
Apr 29, 2024 · In this work, we propose a novel two-stage extreme image compression framework that exploits the powerful generative capability of pre-trained ...
[TCSVT 2024] Towards Extreme Image Compression with Latent Feature Guidance and Diffusion Prior. Python 25 6 · VQIR VQIR Public. [TCSVT 2024] Towards Extreme ...
Diffusion-based extreme image compression methods have achieved impressive performance at extremely low bitrates. However, constrained by the iterative de-.