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Diversified Dynamical Gaussian Process Latent Variable Model for Video Repair

AAAI 2016 · Video › Video generation · approach: Autoregressive long video generation · 1 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add diversity-encouraging prior over inducing points to DGPLVM (D2GPLVM) (ablation)DGPLVM · Hollywood2 block damageMAE: 9.53 -> 7.33Helped
Add diversity-encouraging prior over inducing points to DGPLVM (D2GPLVM) (ablation)DGPLVM · Hollywood2 scattered damageMAE: 10.73 -> 7.91Helped
Add diversity-encouraging prior to DGPLVM (ablation)DGPLVM · Hollywood2 block damageSSIM: 0.84 -> 0.88Helped
Add diversity-encouraging prior to DGPLVM (ablation)DGPLVM · Hollywood2 scattered damageSSIM: 0.90 -> 0.95Helped
Add dynamical sequential prior to BGPLVM (DGPLVM) (ablation)BGPLVM · Hollywood2 block damageMAE: 10.68 -> 9.53Helped
Add dynamical sequential prior to BGPLVM (DGPLVM) (ablation)BGPLVM · Hollywood2 scattered damageMAE: 11.84 -> 10.73Helped
Add dynamical sequential prior to BGPLVM (DGPLVM) (ablation)BGPLVM · Hollywood2 block damageSSIM: 0.83 -> 0.84Helped
Replace exemplar-based inpainting with probabilistic global temporal model D2GPLVMEB · Hollywood2 scattered damageSSIM: 0.37 -> 0.95Helped
Use D2GPLVM instead of exemplar-based inpainting for repair timeD2GPLVM · Hollywood2 clipsrepair time: over 15 minutes -> around two secondsHelped
Use D2GPLVM instead of DGPLVM/BGPLVM for repair timeD2GPLVM · Hollywood2 clipsrepair timeNo clear effect

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