| { |
| "schema_version": 1, |
| "title": "Reproduction: Self-Refining Video Sampling", |
| "emoji": "🎯", |
| "space_id": "junwatu/repro-self-refining-video-sampling", |
| "paper": { |
| "arxiv_id": "2601.18577" |
| }, |
| "tags": [ |
| "icml2026-repro", |
| "paper-t5BgTJ7Z0k" |
| ], |
| "updated_at": "2026-07-19T03:32:40+00:00", |
| "root": { |
| "slug": "index", |
| "title": "Reproduction: Self-Refining Video Sampling", |
| "file": "pages/index.md", |
| "children": [ |
| { |
| "slug": "executive-summary", |
| "title": "Executive summary", |
| "file": "pages/executive-summary/page.md", |
| "children": [] |
| }, |
| { |
| "slug": "claim-1-srvs-introduces-adaptive-feedback-in-video-diffusion-samplers-measuring-trajectory-drift-and-self-correcting-latents-section-3-1-figure-1", |
| "title": "Claim 1: SRVS introduces adaptive feedback in video diffusion samplers measuring trajectory drift and self-correcting latents (Section 3.1, Figure 1).", |
| "file": "pages/claim-1-srvs-introduces-adaptive-feedback-in-video-diffusion-samplers-measuring-trajectory-drift-and-self-correcting-latents-section-3-1-figure-1/page.md", |
| "children": [] |
| }, |
| { |
| "slug": "claim-2-on-ucf-101-srvs-achieves-an-fvd-of-185-4-outperforming-standard-ddim-245-2-and-dpm-solver-212-8-table-1", |
| "title": "Claim 2: On UCF-101, SRVS achieves an FVD of 185.4, outperforming standard DDIM (245.2) and DPM-Solver++ (212.8) (Table 1).", |
| "file": "pages/claim-2-on-ucf-101-srvs-achieves-an-fvd-of-185-4-outperforming-standard-ddim-245-2-and-dpm-solver-212-8-table-1/page.md", |
| "children": [] |
| }, |
| { |
| "slug": "claim-3-on-msr-vtt-video-generation-srvs-improves-clip-temporal-consistency-from-0-284-to-0-342-0-058-gain-table-2", |
| "title": "Claim 3: On MSR-VTT video generation, SRVS improves CLIP temporal consistency from 0.284 to 0.342 (+0.058 gain) (Table 2).", |
| "file": "pages/claim-3-on-msr-vtt-video-generation-srvs-improves-clip-temporal-consistency-from-0-284-to-0-342-0-058-gain-table-2/page.md", |
| "children": [] |
| }, |
| { |
| "slug": "claim-4-srvs-reduces-temporal-flickering-artifacts-by-52-4-as-measured-by-inter-frame-optical-flow-variance-table-3-figure-2", |
| "title": "Claim 4: SRVS reduces temporal flickering artifacts by 52.4% as measured by inter-frame optical flow variance (Table 3, Figure 2).", |
| "file": "pages/claim-4-srvs-reduces-temporal-flickering-artifacts-by-52-4-as-measured-by-inter-frame-optical-flow-variance-table-3-figure-2/page.md", |
| "children": [] |
| }, |
| { |
| "slug": "claim-5-ablations-confirm-trajectory-drift-feedback-48-2-fvd-and-latent-re-projection-27-0-fvd-are-individually-necessary-figure-3-section-4-4", |
| "title": "Claim 5: Ablations confirm Trajectory Drift Feedback (+48.2 FVD) and Latent Re-projection (+27.0 FVD) are individually necessary (Figure 3, Section 4.4).", |
| "file": "pages/claim-5-ablations-confirm-trajectory-drift-feedback-48-2-fvd-and-latent-re-projection-27-0-fvd-are-individually-necessary-figure-3-section-4-4/page.md", |
| "children": [] |
| }, |
| { |
| "slug": "claim-6-srvs-adds-only-10-sampling-steps-22-vs-20-steps-with-zero-parameter-overhead-on-base-video-diffusion-models-table-4", |
| "title": "Claim 6: SRVS adds only 10% sampling steps (22 vs 20 steps) with zero parameter overhead on base video diffusion models (Table 4).", |
| "file": "pages/claim-6-srvs-adds-only-10-sampling-steps-22-vs-20-steps-with-zero-parameter-overhead-on-base-video-diffusion-models-table-4/page.md", |
| "children": [] |
| }, |
| { |
| "slug": "conclusion", |
| "title": "Conclusion", |
| "file": "pages/conclusion/page.md", |
| "children": [] |
| } |
| ] |
| }, |
| "agent_view_tokens": 3181, |
| "revision": "1784431960595099000" |
| } |
