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Sangwoo Jo

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Preprint Oct 2026

In-Distribution Forcing for Long Video Generation at Test Time

Modern autoregressive (AR) video diffusion models excel at short-horizon video generation, yet generating long videos remains challenging due to drifting, where colors and textures shift, and motion dynamics decay. Existing works primarily rely on KV conditioning, which selects or modifies cached key-value (KV) entries...

Jeongwoo Shin, Youngyoon Choi, Sangwoo Jo et al. · 0 citations
Preprint Aug 2026

Flow Straight to Reality: Perceptually Consistent Flow Matching for Efficient Image Restoration

This work proposes PCFlow (Perceptually Consistent Flow Matching), a unified framework that directly parameterizes a continuous transport from degraded observations to clean targets, jointly optimizing distortion and perceptual quality and integrates a conflict-free gradient projection strategy to stabilize the multi-o...

Sangwoo Jo, Donggeun Ko, Jayeon Kang et al. · 1 citation

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