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Academic Achievements
Paper [P2] Generating Human Motion Videos using a Cascaded Text-to-Video Framework, arxiv, 2025
Paper [P1] Video Parallel Scaling: Aggregating Diverse Frame Subsets for VideoLLMs, arxiv, 2025
Paper [C6] VideoRFSplat: Direct Scene-Level Text-to-3D Gaussian Splatting Generation with Flexible Pose and Multi-View Joint Modeling, ICCV, 2025
Paper [C5] SteerX: Creating Any Camera-Free 3D and 4D Scenes with Geometric Steering, ICCV, 2025
Paper [C4] Optical-Flow Guided Prompt Optimization for Coherent Video Generation, CVPR, 2025
Paper [C3] CFG++: Manifold-constrained Classifier Free Guidance For Diffusion Models, ICLR, 2025, Silver prize, 31st Samsung Humantech Paper Award
Paper [C2] Contrastive Denoising Score for Text-guided Latent Diffusion Image Editing, CVPR, 2024
Paper [C1] HairFIT: Pose-invariant Hairstyle Transfer via Flow-based Hair Alignment and Semantic-region-aware Inpainting, BMVC, 2022, Best Paper Award, Korean Artificial Intelligence Association, 2021
Background
Research Interests: Diffusion models, Generative models. Goal is to advance generative models to accurately capture real-world dynamics, ultimately enabling them to function as reliable real-world priors.