1 citations · 1 across the 3 of their papers we have counts for
5 papers
MSG Score: Automated Video Verification for Reliable Multi-Scene Generation
Daewon Yoon, Hyeongseok Lee, Wonsik Shin +2
While text-to-video diffusion models have advanced significantly, creating coherent long-form content remains unreliable due to stochastic sampling artifacts. This necessitates gen…
4DGS360: 360° Gaussian Reconstruction of Dynamic Objects from a Single Video
Jae Won Jang, Yeonjin Chang, Wonsik Shin +2
We introduce 4DGS360, a diffusion-free framework for 360 dynamic object reconstruction from casual monocular video. Existing methods often fail to reconstruct consistent…
LoGoColor: Local-Global 3D Colorization for 360° Scenes
Yeonjin Chang, Juhwan Cho, Seunghyeon Seo +2
Single-channel 3D reconstruction is widely used in fields such as robotics and medical imaging. While these methods are good at reconstructing 3D geometry, their outputs are typica…
Style Composition within Distinct LoRA modules for Traditional Art
Jaehyun Lee, Wonhark Park, Wonsik Shin +3
Diffusion-based text-to-image models have achieved remarkable results in synthesizing diverse images from text prompts and can capture specific artistic styles via style personaliz…
S3D: Sketch-Driven 3D Model Generation
Hail Song, Wonsik Shin, Naeun Lee +3
Generating high-quality 3D models from 2D sketches is a challenging task due to the inherent ambiguity and sparsity of sketch data. In this paper, we present S3D, a novel framework…