5 citations · 8 across the 7 of their papers we have counts for
7 papers
GraspHOI: Full-Body 3D Human-Object Reconstruction with Finger-Level Grasps from a Single In-the-Wild Image
Semin Kim, Haechan Shin, Jongyoo Kim
Existing monocular full-body 3D human-object interaction (HOI) methods do not combine explicit finger-level grasp optimization with category-agnostic object reconstruction. Despite…
SHERPA: Seam-aware Harmonized ERP Adaptation for Open-Domain 360 Panorama Generation
Jungwoon Kang, Jaehun Kim, Yiwon Yu +3
Panoramic imagery is increasingly used in world-generation, games, and simulation, where users may need not only photorealistic scenes but also stylized and non-photorealistic envi…
REVIVE 3D: Refinement via Encoded Voluminous Inflated prior for Volume Enhancement
Hankyeol Lee, Wooyeol Baek, Seongdo Kim +1
Recent generative models have shown strong performance in generating diverse 3D assets from 2D images, a fundamental research topic in computer vision and graphics. However, these…
FreeEnricher: Enriching Face Landmarks without Additional Cost
Yangyu Huang, Xi Chen, Jongyoo Kim +4
Recent years have witnessed significant growth of face alignment. Though dense facial landmark is highly demanded in various scenarios, e.g., cosmetic medicine and facial beautific…
MPS-NeRF: Generalizable 3D Human Rendering from Multiview Images
Xiangjun Gao, Jiaolong Yang, Jongyoo Kim +3
There has been rapid progress recently on 3D human rendering, including novel view synthesis and pose animation, based on the advances of neural radiance fields (NeRF). However, mo…
ADNet: Leveraging Error-Bias Towards Normal Direction in Face Alignment
Yangyu Huang, Hao Yang, Chong Li +2
The recent progress of CNN has dramatically improved face alignment performance. However, few works have paid attention to the error-bias with respect to error distribution of faci…
Video Frame Interpolation by Plug-and-Play Deep Locally Linear Embedding
Anh-Duc Nguyen, Woojae Kim, Jongyoo Kim +1
We propose a generative framework which takes on the video frame interpolation problem. Our framework, which we call Deep Locally Linear Embedding (DeepLLE), is powered by a deep c…