At AutoSens US 2025 in Detroit, intoPIX will unveil its latest advancements in intelligent image compression for ADAS and autonomous vehicles. These technolo ...

On the left, we see a watermark applied to the face of the iconic ‘Lenna' (Lena) image, which is clear under normal compression. On the right, with 90% JPEG compression, we can see that the ...

The results reported by the researchers seem impressive—with their technique, spectral image files shrink by 10 to 60 times compared to standard OpenEXR lossless compression, bringing them down ...

It's a very impressive job! Well done. I am wondering if you have conducted any further experiments on vector quantization. The DCAE-f128 can compress a 256x256 image into a 2x2 feature map, resulting ...

In an attempt to overcome these challenges, researchers from Google introduced “Sample What You Can’t Compress,” which couples autoencoder-based representation learning with diffusion models. This ...

1 Computer School, Hubei Polytechnic University, Huangshi, China 2 College of Computer Science, Huanggang Normal University, Huanggang, China This study aims to explore an autoencoder-based method for ...

Autoencoders and Variational Autoencoders are essential tools for dimension reduction and image compression. Introduced in 2006, Autoencoders learn efficient data representations by compressing input ...