Adversarial mechanism is introduced to learned image compression system in this paper. Our motivation is that the number of quantization levels is limited ...
Jun 19, 2020 · The adversarial training manner enhances the ability of Decoder/Generator to enrich textures and details in the reconstructed image. Channel- ...
Adversarial mechanism is introduced to learned image compression system in this paper. Our motivation is that the number of quantization levels is limited ...
This approach provided better performance and required visual quality, evaluated with low BPP and MS-SSIM index [16] . This novel CNN-based image compression ...
Connected Papers is a visual tool to help researchers and applied scientists find academic papers relevant to their field of work.
Neural image compression methods incorporating generative models (e.g., Generative Adversarial Networks, short GANs [18] ) have been able to achieve comparable ...
We present a learned image compression system based on GANs, operating at extremely low bitrates. Our proposed framework combines an encoder, ...
Jul 18, 2024 · In this work, we initiate efforts towards end-to-end optimized HDR image compression for perceptually optimal storage and display.
Learned Low Bit-Rate Image Compression With Adversarial Mechanism. CVPR ... Learned image compression with soft bit-based rate-distortion optimization.
In this paper, we propose MobileViT-GAN, a novel GANbased low bitrate image coding method that incorporates a lightweight transformer MobileViT [8] as the ...