HL-OutPaint enables high-resolution outpainting of long video sequences via a coarse-to-fine pipeline that first builds Global Coarse Guidance through global-local frame swapping then synthesizes details.
In: Pro- ceedings of the 27th annual conference on Computer graphics and interactive tech- niques
3 Pith papers cite this work. Polarity classification is still indexing.
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cs.CV 3years
2026 3verdicts
UNVERDICTED 3representative citing papers
A framework merges light field integration with vision-language model priors and multi-sample fusion to remove occlusions, reporting highest average SSIM on four synthetic light field scenes and generalization to real data.
Moebius introduces a compressed diffusion inpainting model using Local-λ Mix Interaction blocks and latent-space multi-granularity distillation to reach 10B-level quality with 0.22B parameters.
citing papers explorer
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HL-OutPaint: Coarse-to-Fine Video Outpainting for High-Resolution Long-Range Videos
HL-OutPaint enables high-resolution outpainting of long video sequences via a coarse-to-fine pipeline that first builds Global Coarse Guidance through global-local frame swapping then synthesizes details.
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Vision-Reasoning-Guided Occlusion Removal from Light Fields
A framework merges light field integration with vision-language model priors and multi-sample fusion to remove occlusions, reporting highest average SSIM on four synthetic light field scenes and generalization to real data.
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Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance
Moebius introduces a compressed diffusion inpainting model using Local-λ Mix Interaction blocks and latent-space multi-granularity distillation to reach 10B-level quality with 0.22B parameters.