5 papers
SceneLinker: Compositional 3D Scene Generation via Semantic Scene Graph from RGB Sequences
Seok-Young Kim, Dooyoung Kim, Woojin Cho +3
We introduce SceneLinker, a novel framework that generates compositional 3D scenes via semantic scene graph from RGB sequences. To adaptively experience Mixed Reality (MR) content…
OFERA: Blendshape-driven 3D Gaussian Control for Occluded Facial Expression to Realistic Avatars in VR
Seokhwan Yang, Boram Yoon, Seoyoung Kang +2
We propose OFERA, a novel framework for real-time expression control of photorealistic Gaussian head avatars for VR headset users. Existing approaches attempt to recover occluded f…
Streamlined Facial Data Collection based on Utterance and Emotional Data for Human-to-Avatar Reconstruction
Seoyoung Kang, Seokhwan Yang, Hail Song +4
This study explores a streamlined facial data collection method for conversational contexts, addressing the limitations of existing approaches that often require extensive datasets…
Fast Texture Transfer for XR Avatars via Barycentric UV Conversion
Hail Song, Seokhwan Yang, Woontack Woo
We present a fast and efficient method for transferring facial textures onto SMPL-X-based full-body avatars. Unlike conventional affine-transform methods that are slow and prone to…
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…