A Spatial Conditioning Without Bubble Artifacts
–Neural Information Processing Systems
Let us begin by recalling how SP ADE works, and study where its defects come from. These statistics are calculated via averages over examples and all spatial dimensions. In Figure 4, we can see that SP ADE has these droplet artifacts as well. Despite the rationale behind this idea, we could not find settings where we noticed a decrease in distortion that was not accompanied by a drastic decrease in quality. SSNs trained in FFHQ at 256 x 256 resolution.
Neural Information Processing Systems
Oct-2-2025, 14:18:06 GMT
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