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UVLL : UNIST Vision&Learning Lab
울산과학기술원(UNIST) Vision and Learning 연구실의 연구 발자취를 남기는 공간
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LatentHOI: On the Generalizable Hand Object Motion Generation with Latent Hand Diffusion (CVPR 2025)
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GPS-Gaussian:Generalizable Pixel-wise 3D Gaussian Splatting for Real-time Human Novel View Synthesis
WiLoR: End-to-end 3D Hand Localization and Reconstruction in-the-wild (CVPR, 2025)
Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models (Korean)
VGGT: Visual Geometry Grounded Transformer(CVPR 2025)
HandOS: 3D Hand Reconstruction in One Stage(CVPR 2025)
InteractAnything: Zero-shot Human Object-Interaction Synthesis via LLM Feedback and ... (CVPR, 2025)
Grip-Reach-Touch-Repeat: A Refined Model of Grasp to Encompass One-Handed Interaction(CHI, 2024)
Language Models as Zero-shot Lossless Gradient Compressors (NeurIPS 2024)
Training a Feedback Loop for Hand Pose Estimation (ICCV 2015)
DART: Articulated Hand Model with Diverse Accessories and Rich Textures(NeurIPS 2022)
Diffusion-4K: Ultra-High-Resolution Image Synthesis with Latent Diffusion Models(CVPR 2025)
HUGS: Human Gaussian Splats (CVPR, 2024)
ShowMak3r: Compositional TV Show Reconstruction (CVPR, 2025)
HanDiffuser: Text-to-Image Generation With Realistic Hand Appearances
Large Multi-View Gaussian Model
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HOTR: End-to-End Human-Object Interaction Detection with Transformers
Wuerstchen: An Efficient Architecture for Large-Scale Text-to-Image Diffusion Models(ICLR, 2024)
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