halosaber

Video and Image Computing Lab에서는 2026년 후기 KAIST 국비/KAIST 석사과정생을 모집합니다. Main research areas in VIC Lab are mostly focused but not limited on the following subjects: -3D Image/Video Reconstruction and Recondering * 3D/4D Gaussian Splatting for Statis/Dynamic Scenes     * Neural Radiance Fields (NeRF)    - Image/Video Generative Models     * Multimodal Diffusion Models for Images and Video     * Image/Video Editing and Manipulation using Generative Models     * MMultimodal-based...

Journal: IEEE ACCESS, Vol. xx, pp. xx-xx, Jan. 20, 2026. (DOI: 10.1109/ACCESS.2026.3655413) Title: FS-SegDiff: Mitigating Intra-class Variation and Attention Leakage for Robust Diffusion-based Few-shot Semantic Segmentation Authors: Jaehyun Kim, Wonyong Seo, and Munchurl Kim Abstract: Few-shot semantic segmentation (FSS) has gained a significant attention as a promising solution to segmenting the target objects of unseen classes using only a few annotated examples. Recently, pretrained...

Title: MoBGS: Motion Deblurring Dynamic 3D Gaussian Splatting for Blurry Monocular Video Authors: Minh-Quan Viet Bui, Jongmin Park, Juan Luis Gonzalez, Jaeho Moon, Jihyong Oh, Munchurl Kim Absract: We present MoBGS, a novel motion deblurring 3D Gaussian Splatting (3DGS) framework capable of reconstructing sharp and high-quality novel spatio-temporal views from blurry monocular videos in an end-to-end manner. Existing dynamic novel view synthesis (NVS) methods are highly sensitive to motion...