1 citations · 3 across the 7 of their papers we have counts for
7 papers
Contrastive Knowledge Distillation for Anomaly Detection in Multi-Illumination/Focus Display Images
Jihyun Lee, Hangil Park, Yongmin Seo +4
In this paper, we tackle automatic anomaly detection in multi-illumination and multi-focus display images. The minute defects on the display surface are hard to spot out in RGB ima…
CoIn: Comprehensive 2D-3D Inpainting with Gaussian Splatting Guidance
Hana Kim, Minje Kim, Tae-Kyun Kim
3D scene inpainting is essential for reconstructing areas corrupted by occlusions or limited viewpoints. While recent methods leverage Gaussian Splatting (GS) for efficient 3D edit…
3DPhysVideo: Consistency-Guided Flow SDE for Video Generation via 3D Scene Reconstruction and Physical Simulation
Hwidong Kim, Yunho Kim, Tae-Kyun Kim
Video generative models have made remarkable progress, yet they often yield visual artifacts that violate grounding in physical dynamics. Recent works such as PhysGen3D tackle sing…
REWIND: Real-Time Egocentric Whole-Body Motion Diffusion with Exemplar-Based Identity Conditioning
Jihyun Lee, Weipeng Xu, Alexander Richard +7
We present REWIND (Real-Time Egocentric Whole-Body Motion Diffusion), a one-step diffusion model for real-time, high-fidelity human motion estimation from egocentric image inputs.…
InterHandGen: Two-Hand Interaction Generation via Cascaded Reverse Diffusion
Jihyun Lee, Shunsuke Saito, Giljoo Nam +2
We present InterHandGen, a novel framework that learns the generative prior of two-hand interaction. Sampling from our model yields plausible and diverse two-hand shapes in close i…
BiTT: Bi-directional Texture Reconstruction of Interacting Two Hands from a Single Image
Minje Kim, Tae-Kyun Kim
Creating personalized hand avatars is important to offer a realistic experience to users on AR / VR platforms. While most prior studies focused on reconstructing 3D hand shapes, so…
Arbitrary-Scale Image Generation and Upsampling using Latent Diffusion Model and Implicit Neural Decoder
Jinseok Kim, Tae-Kyun Kim
Super-resolution (SR) and image generation are important tasks in computer vision and are widely adopted in real-world applications. Most existing methods, however, generate images…