I curated an ‘Awesome List’ for Generative AI in Jewelry- papers, datasets, open-source models and tools included!
artificial
I curated an ‘Awesome List’ for Generative AI in Jewelry- papers, datasets, open-source models and tools included!
Jewelry is one of the, if not the, hardest categories for AI image generation. Reflective metals, facet edges, prong geometry, and gemstone refraction all get destroyed by standard VAE compression in latent diffusion models. No benchmark exists t...
artificial

I curated an ‘Awesome List’ for Generative AI in Jewelry- papers, datasets, open-source models and tools included!

I curated an 'Awesome List' for Generative AI in Jewelry- papers, datasets, open-source models and tools included!

Jewelry is one of the, if not the, hardest categories for AI image generation. Reflective metals, facet edges, prong geometry, and gemstone refraction all get destroyed by standard VAE compression in latent diffusion models.

No benchmark exists to measure this systematically.

I put together a curated Awesome List covering the full landscape:

  • 20+ datasets available on Huggingface including jewelry segmentation, hand pose with jewelry, Flux fine-tuning sets, and VITON-style jewelry data
  • Foundational papers on identity preservation, VAE detail loss, and reflective surface rendering
  • Open-source models: ControlNet configs, IP-Adapter variants, SAM adaptations for jewelry segmentation
  • Evaluation metrics recommended for jewelry fidelity
  • Commercial tools comparison
  • Tutorials and communities

Gaps I know exist: no jewelry-specific fidelity benchmark, limited public LoRAs, no systematic failure mode studies for DALL-E/Midjourney on jewelry.

Contributions welcome via PR.

submitted by /u/mhb-11
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