Project Analysis - Color Transfer / GAN

Project Analysis - Color Transfer

Git ref - Link

• XYZ to CIE-LAB color space conversion
• skimage.color.rgb2lab(rgb[, illuminant, …])
• Conversion from the sRGB color space (IEC 61966-2-1:1999) to the CIE Lab colorspace under the given illuminant and observer.

Project #2 - deep koalarization

Paper  - link

Key Notes

• High-level feature extraction using a pre-trained model (Inception-ResNetv2) to enhance the coloring process.

• Fusion The fusion layer takes the feature vector from Inception, replicates it HW/8*8 times and attaches it to the feature volume outputted by the encoder along the depth axis

More Reads

Color Spaces

Paper - Colorization Using ConvNet and GAN

• Colorization is a popular image-to-image translation problem
• We implemented two models for the task: ConvNet and conditional-GAN and found that GAN can generate better results both quantitatively and qualitatively
• ConvNet and GAN. Both models are design to take either grayscale or edge-only images and produce color (RGB) images.

Types of GAN

Attgan

More Reads

Controlling Colors of GAN-Generated and Real Images via Color Histograms

Keep Exploring!!!