Four months of Gabor-wavelet image generation led to a broader Claude-assisted research project
pixlpa · x · 2026-07-30
A long technical write-up on using Gabor atoms / wavelets to render natural images and build image-creation tools. The author says four months of experimentation led to a broader investigation than expected, using Claude as an assistant and exploring smaller, self-trained image models instead of chasing hyperrealistic generators.
Main points
- The project starts from a Gabor-based representation for image fitting and rendering.
- The author frames it as both a creative-tooling effort and a machine-learning exploration.
- Recent LLM progress made it easier to revisit the idea with Claude as a collaborator.
- The article argues there is still room for expressive, smaller image models beyond mainstream hyperrealistic generation.
- It also walks through the signal-processing and visual-cortex foundations behind the approach.
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