Inpainting
Cross-source consensus on Inpainting from 1 sources and 4 claims.
1 sources · 4 claims
How it works
Benefits
Comparisons
Highlighted claims
- For FFHQ inpainting, varying particle count from 1 to 16 kept quality metrics nearly flat while runtime rose. — Tempered Guided Diffusion
- Inpainting was less sensitive than phase retrieval to larger particle populations and later pruning. — Tempered Guided Diffusion
- Inpainting was evaluated with observations generated by applying an operator to the clean image and adding noise. — Tempered Guided Diffusion
- For inpainting, annealing plus resampling modestly improved metrics relative to no annealing. — Tempered Guided Diffusion