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cs.CV2026

ReDesign: Recovering Editable Design Structures from Images via Agentic Decomposition

Jooyeol Yun, Jintae Park, Hyesu Lim +3

Recovering an editable design file from a raster image is a common and costly bottleneck in modern design workflows, yet remains challenging since editability depends on recovering…

cs.CV2026

InsertAnywhere: Geometrically Grounded and Optics-Aware Video Object Insertion

Hoiyeong Jin, Hyojin Jang, Junha Hyung +6

Recent advances in diffusion models have enabled impressive video editing capabilities, yet production-grade Video Object Insertion (VOI) remains challenging due to inadequate 4D s…

cs.CV2026

Probability-Conserving Flow Guidance

Parsa Esmati, Junha Hyung, Amirhossein Dadashzadeh +2

Diffusion and flow-based generative models dominate visual synthesis, with guidance aligning samples to user input and improving perceptual quality. However, Classifier-Free Guidan…

cs.CV2025

Infinite-Homography as Robust Conditioning for Camera-Controlled Video Generation

Min-Jung Kim, Jeongho Kim, Hoiyeong Jin +2

Recent progress in video diffusion models has spurred growing interest in camera-controlled novel-view video generation for dynamic scenes, aiming to provide creators with cinemati…

cs.CV2025

Temporal In-Context Fine-Tuning with Temporal Reasoning for Versatile Control of Video Diffusion Models

Kinam Kim, Junha Hyung, Jaegul Choo

Recent advances in text-to-video diffusion models have enabled high-quality video synthesis, but controllable generation remains challenging, particularly under limited data and co…

cs.CV2025

EgoX: Egocentric Video Generation from a Single Exocentric Video

Taewoong Kang, Kinam Kim, Dohyeon Kim +3

Egocentric perception enables humans to experience and understand the world directly from their own point of view. Translating exocentric (third-person) videos into egocentric (fir…