DiffEIC Towards Extreme Image Compression with Latent Feature Guidance and Diffusion Prior Zhiyuan Li IEEE TCSVT Lossy Image Compression PSC Zero-Shot Image Compression with Diffusion-Based Posterior Sampling
Diffusion models have also been proposed to augment existing compression architectures by adding details to images compressed with autoencoder-based neural codecs [18,24]. These methods are sub-optimal since they address an image enhancement task decoupled from compression; in other words, they post-...
3.1. Perceptual Image Compression 1️⃣ Latent Space for Efficiency: Reduces computational costs by encoding images into a structured low-dimensional latent space with a learned downsampling factor. 2️⃣ Perceptual Loss for High-Level Structure: Preserves important object structures and shapes by...
Due to the limitations of autoencoders and generative adversarial networks, the performance of reconstruction-based unsupervised image anomaly detection methods are not satisfactory. In this paper, we aim to explore the potential of a more powerful generative model, the diffusion model, in the anomaly...
These challenges resemble those addressed recently in the image-generation community by (video) diffusion models. Diffusion models31have gained attention due to their ability to generate seemingly photo-realistic images based on text descriptors, a famous representative being DALL-E 2 (ref.32), and...
diffusion prediction step, by matching outputs in the least-squares sense (MSE loss). Depending on how many steps the sampling procedure has, this may correspond to quite an extreme form of model compression (in the sense of compute, that is – the number of parameters stays the same, of ...
Security in e-healthcare applications such as Telemedicine is crucial in safeguarding patients’ sensitive data during transmission. The proposed system measures the patient’s health parameters, such as body temperature and pulse rate, using LM35 and pu
However, while thermoelectric modules exhibit relatively high mechanical strength in the compression mode, their shear strength is comparatively low. 5.5 Coefficient of thermal expansion (CTE) Thermal expansion is critical, as devices for high-temperature applications will be subjected to extreme ...
Paint by Example: Exemplar-based Image Editing with Diffusion Models Binxin Yang, Shuyang Gu, Bo Zhang, Ting Zhang, Xuejin Chen, Xiaoyan Sun, Dong Chen, Fang Wen arXiv 2022. [Paper] 23 Nov 2022 SinDiffusion: Learning a Diffusion Model from a Single Natural Image Weilun Wang, Jianmi...
The code is based on Extreme Compression of Large Language Models via Additive Quantization BibTeX @misc{egiazarian2024accuratecompressiontexttoimagediffusion, title={Accurate Compression of Text-to-Image Diffusion Models via Vector Quantization}, author={Vage Egiazarian and Denis Kuznedelev and Anton...