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"schema_version": 1,
"title": "Reproduction: DiFA: Inference-Time Forward-Process Alignment for Diffusion Models",
"emoji": "🎯",
"space_id": "debrajsingha/repro-difa-inference-time-forward-process-alignment-for-diffusion-models",
"paper": null,
"tags": [
"icml2026-repro",
"paper-YGyWLM0OEW"
],
"updated_at": "2026-07-19T14:10:59+00:00",
"root": {
"slug": "index",
"title": "Reproduction: DiFA: Inference-Time Forward-Process Alignment for Diffusion Models",
"file": "pages/index.md",
"children": [
{
"slug": "executive-summary",
"title": "Executive summary",
"file": "pages/executive-summary/page.md",
"children": []
},
{
"slug": "claim-1-difa-reformulates-diffusion-sampling-as-sequential-state-estimation-problem-using-fading-memory-kalman-filter-strategy",
"title": "Claim 1: DiFA reformulates diffusion sampling as sequential state estimation problem using fading-memory Kalman filter strategy.",
"file": "pages/claim-1-difa-reformulates-diffusion-sampling-as-sequential-state-estimation-problem-using-fading-memory-kalman-filter-strategy/page.md",
"children": []
},
{
"slug": "claim-2-yields-significant-improvements-in-fid-is-and-fd-dinov2-scores-on-cifar-10-and-imagenet",
"title": "Claim 2: Yields significant improvements in FID, IS, and FD-DINOv2 scores on CIFAR-10 and ImageNet.",
"file": "pages/claim-2-yields-significant-improvements-in-fid-is-and-fd-dinov2-scores-on-cifar-10-and-imagenet/page.md",
"children": []
},
{
"slug": "claim-3-introduces-deviation-boosting-mechanism-adaptively-restoring-high-frequency-details-to-counteract-over-smoothing",
"title": "Claim 3: Introduces deviation boosting mechanism adaptively restoring high-frequency details to counteract over-smoothing.",
"file": "pages/claim-3-introduces-deviation-boosting-mechanism-adaptively-restoring-high-frequency-details-to-counteract-over-smoothing/page.md",
"children": []
},
{
"slug": "conclusion",
"title": "Conclusion",
"file": "pages/conclusion/page.md",
"children": []
}
]
},
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"revision": "1784470259322052172"
} |