Lee HyoseokI received my master's degree in Artificial Intelligence at a POSTECH, advised by Tae-Hyun Oh. I work on research problems in computer graphics, vision, and machine learning. My research interests include 3D Reconstruction, Computational Photography, and Generative Model, but not limited to. CV / Google Scholar / LinkedIn / GitHub / Email |
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News
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Publications |
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CLAY: Conditional Visual Similarity Modulation in Vision-Language Embedding SpaceCVPR, 2026Paper / CLAY, an adaptive similarity computation method that reframes the embedding space of pretrained Vision-Language Models (VLMs) as a text-conditional similarity space without additional training. |
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ELITE: Efficient Gaussian Head Avatar from a Monocular Video via Learned Initialization and Test-time Generative AdaptationCVPR, 2026arXiv / Project page ELITE synthesizes an animatable photorealistic Gaussian head avatar from a casual monocular video by synergistically exploiting 3D data priors and 2D generative priors. |
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Measurement-Consistent Langevin Corrector: A Remedy for Latent Diffusion Inverse SolversarXiv, 2026arXiv / Best Excellence Prize, Electronics Times ICT Paper Awards, 2025 MCLC, a plug-and-play module that stabilizes and improves latent diffusion inverse solvers. |
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JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion TransformersICCV, 2025arXiv / Project page JointDiT, a diffusion transformer that models the joint distribution of RGB and depth within a single unified model. |
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Dress-up: Generating Animatable Clothed 3D Humans via Latent Modeling of 3D Gaussian Texture MapsWorkshop on Computer Vision for Fashion, Art, and Design, ICCV, 2025Oral Presentation Dress-Up, a feed-forward, unconditional generative model for creating photorealistic, animatable, clothed 3D human avatars |
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FPGS: Feed-Forward Semantic-aware Photorealistic Style Transfer of Large-Scale Gaussian SplattingIJCV, 2025arXiv / Project page Excellence Prize, Electronics Times ICT Paper Awards, 2024 FPGS performs feed-forward semantic-aware photorealistic style transfer of Gaussian Splatting. |
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Zero-shot Depth Completion via Test-time Alignment with Affine-invariant Depth PriorsAAAI, 2025arXiv / Code / Project page Winner of the Qualcomm Innovation Fellowship Korea 2025 Zero-shot depth completion: Align sparse depth measurements with affine-invariant depth diffusion prior at test time. |
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Bootstrapping Multi-View Features via Bridging the Gap between Linearity of Rendering and Non-linearity of 2D Feature SpaceIPIU, 2024Outstanding Poster Presentation Award Constructing versatile 3D feature field by addressing feature rendering equation and bootstrapping multi-view features. |
Awards & Honors
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Academic Services
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Design and source code from Jon Barron and Leonid Keselman. |