We present HL-OutPaint, a coarse-to-fine video outpainting framework designed for high-resolution long-range videos.</p>\n<p>HL-OutPaint introduces Global Coarse Guidance (GCG), a low-resolution representation that captures global structure and dominant motion across long video sequences through a novel global-local frame swapping mechanism. Guided by GCG, the framework generates spatially detailed and temporally consistent outpainted videos while maintaining long-range coherence.</p>\n<p>Project page: <a href=\"https://koyy001.github.io/Publications/hl-outpaint\" rel=\"nofollow\">https://koyy001.github.io/Publications/hl-outpaint</a><br>Video: <a href=\"https://www.youtube.com/watch?v=C-XQCRkbv5E\" rel=\"nofollow\">https://www.youtube.com/watch?v=C-XQCRkbv5E</a><br>ArXiv: <a href=\"https://arxiv.org/abs/2605.17543\" rel=\"nofollow\">https://arxiv.org/abs/2605.17543</a></p>\n","updatedAt":"2026-06-01T14:52:25.898Z","author":{"_id":"65ad0940d63812c33e033124","avatarUrl":"/avatars/5eb495d8bc3ba72645c9a9aa331b0efa.svg","fullname":"Jeongeun Park","name":"koyy001","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"isUserFollowing":false}},"numEdits":0,"identifiedLanguage":{"language":"en","probability":0.7905218601226807},"editors":["koyy001"],"editorAvatarUrls":["/avatars/5eb495d8bc3ba72645c9a9aa331b0efa.svg"],"reactions":[],"isReport":false}}],"primaryEmailConfirmed":false,"paper":{"id":"2605.17543","authors":[{"_id":"6a0ea609164dbbc68a26c6b3","user":{"_id":"65ad0940d63812c33e033124","avatarUrl":"/avatars/5eb495d8bc3ba72645c9a9aa331b0efa.svg","isPro":false,"fullname":"Jeongeun Park","user":"koyy001","type":"user","name":"koyy001"},"name":"Jeongeun Park","status":"claimed_verified","statusLastChangedAt":"2026-06-01T11:51:24.090Z","hidden":false},{"_id":"6a0ea609164dbbc68a26c6b4","name":"Janghyeok Han","hidden":false},{"_id":"6a0ea609164dbbc68a26c6b5","name":"Geonung Kim","hidden":false},{"_id":"6a0ea609164dbbc68a26c6b6","name":"Hyun-Seung Lee","hidden":false},{"_id":"6a0ea609164dbbc68a26c6b7","name":"Kyuha Choi","hidden":false},{"_id":"6a0ea609164dbbc68a26c6b8","name":"Youngseok Han","hidden":false},{"_id":"6a0ea609164dbbc68a26c6b9","name":"Sunghyun Cho","hidden":false}],"mediaUrls":["https://cdn-uploads.huggingface.co/production/uploads/65ad0940d63812c33e033124/x3jsLcaO97OiU53VVUyDb.mp4"],"publishedAt":"2026-05-19T00:00:00.000Z","submittedOnDailyAt":"2026-06-01T00:00:00.000Z","title":"HL-OutPaint: Coarse-to-Fine Video Outpainting for High-Resolution Long-Range Videos","submittedOnDailyBy":{"_id":"65ad0940d63812c33e033124","avatarUrl":"/avatars/5eb495d8bc3ba72645c9a9aa331b0efa.svg","isPro":false,"fullname":"Jeongeun Park","user":"koyy001","type":"user","name":"koyy001"},"summary":"Video outpainting generates plausible visual content beyond the original spatial extent of a video, playing a key role in adapting videos to diverse display formats. To support such use cases, it must enable large spatial extrapolation over long sequences. However, most existing methods address only one of these challenges or lack explicit mechanisms for ensuring global spatio-temporal consistency, leading to notable limitations. In this paper, we propose HL-OutPaint, a high-resolution video outpainting framework for long sequences. Our approach follows a coarse-to-fine strategy with a two-stage pipeline. We first construct Global Coarse Guidance (GCG), a low-resolution representation that captures global structure and dominant motion across the video. Unlike naive downsampling, GCG is built via a novel global-local frame swapping mechanism that couples sparse global keyframes with local temporal windows and exchanges information during sampling. This enables GCG to encode both long-term structural consistency and short-term temporal dynamics in a unified representation. Guided by this representation, HL-OutPaint then performs high-resolution outpainting to generate spatially detailed and temporally consistent content. By separating global structure modeling from fine-grained synthesis, our framework achieves stable, coherent generation for large spatial expansion and long video sequences. Extensive experiments show that HL-OutPaint outperforms existing methods in challenging scenarios involving wide spatial extrapolation and long video sequences.","upvotes":2,"discussionId":"6a0ea609164dbbc68a26c6ba","projectPage":"https://koyy001.github.io/Publications/hl-outpaint","ai_summary":"HL-OutPaint is a high-resolution video outpainting framework that uses a coarse-to-fine strategy with global coarse guidance to enable large spatial extrapolation and long sequence generation while maintaining spatio-temporal consistency.","ai_keywords":["video outpainting","coarse-to-fine strategy","global coarse guidance","global-local frame swapping mechanism","spatio-temporal consistency","high-resolution generation","long video sequences","spatial extrapolation"],"organization":{"_id":"6a1d7b2c2c850ce78fcd590a","name":"postech-cglab","fullname":"POSTECH Computer Graphics Lab","avatar":"https://cdn-avatars.huggingface.co/v1/production/uploads/65ad0940d63812c33e033124/v90h7lJrY0VAWqHLkMcxM.png"}},"canReadDatabase":false,"canManagePapers":false,"canSubmit":false,"hasHfLevelAccess":false,"upvoted":false,"upvoters":[{"_id":"642cec5dfc341371b030adaa","avatarUrl":"/avatars/13886df0cf19d697d181a0691ac269fc.svg","isPro":false,"fullname":"Janghyeok Han","user":"Janghyeok","type":"user"},{"_id":"65ad0940d63812c33e033124","avatarUrl":"/avatars/5eb495d8bc3ba72645c9a9aa331b0efa.svg","isPro":false,"fullname":"Jeongeun Park","user":"koyy001","type":"user"}],"acceptLanguages":["en"],"dailyPaperRank":0,"organization":{"_id":"6a1d7b2c2c850ce78fcd590a","name":"postech-cglab","fullname":"POSTECH Computer Graphics Lab","avatar":"https://cdn-avatars.huggingface.co/v1/production/uploads/65ad0940d63812c33e033124/v90h7lJrY0VAWqHLkMcxM.png"},"markdownContentUrl":"https://huggingface.co/buckets/huggingchat/papers-content/resolve/2605/2605.17543.md"}">
HL-OutPaint: Coarse-to-Fine Video Outpainting for High-Resolution Long-Range Videos
Abstract
HL-OutPaint is a high-resolution video outpainting framework that uses a coarse-to-fine strategy with global coarse guidance to enable large spatial extrapolation and long sequence generation while maintaining spatio-temporal consistency.
AI-generated summary
Video outpainting generates plausible visual content beyond the original spatial extent of a video, playing a key role in adapting videos to diverse display formats. To support such use cases, it must enable large spatial extrapolation over long sequences. However, most existing methods address only one of these challenges or lack explicit mechanisms for ensuring global spatio-temporal consistency, leading to notable limitations. In this paper, we propose HL-OutPaint, a high-resolution video outpainting framework for long sequences. Our approach follows a coarse-to-fine strategy with a two-stage pipeline. We first construct Global Coarse Guidance (GCG), a low-resolution representation that captures global structure and dominant motion across the video. Unlike naive downsampling, GCG is built via a novel global-local frame swapping mechanism that couples sparse global keyframes with local temporal windows and exchanges information during sampling. This enables GCG to encode both long-term structural consistency and short-term temporal dynamics in a unified representation. Guided by this representation, HL-OutPaint then performs high-resolution outpainting to generate spatially detailed and temporally consistent content. By separating global structure modeling from fine-grained synthesis, our framework achieves stable, coherent generation for large spatial expansion and long video sequences. Extensive experiments show that HL-OutPaint outperforms existing methods in challenging scenarios involving wide spatial extrapolation and long video sequences.
Community
We present HL-OutPaint, a coarse-to-fine video outpainting framework designed for high-resolution long-range videos.
HL-OutPaint introduces Global Coarse Guidance (GCG), a low-resolution representation that captures global structure and dominant motion across long video sequences through a novel global-local frame swapping mechanism. Guided by GCG, the framework generates spatially detailed and temporally consistent outpainted videos while maintaining long-range coherence.
Project page: https://koyy001.github.io/Publications/hl-outpaint
Video: https://www.youtube.com/watch?v=C-XQCRkbv5E
ArXiv: https://arxiv.org/abs/2605.17543
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Cite arxiv.org/abs/2605.17543 in a model README.md to link it from this page.
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