1 citations · 2 across the 12 of their papers we have counts for
12 papers
OpenFS: Multi-Hand-Capable Fingerspelling Recognition with Implicit Signing-Hand Detection and Frame-Wise Letter-Conditioned Synthesis
Junuk Cha, Jihyeon Kim, Han-Mu Park
Fingerspelling is a component of sign languages in which words are spelled out letter by letter using specific hand poses. Automatic fingerspelling recognition plays a crucial role…
CoT-Pose: Chain-of-Thought Reasoning for 3D Pose Generation from Abstract Prompts
Junuk Cha, Jihyeon Kim
Recent advances in multi-modal large language models (MLLMs) and chain-of-thought (CoT) reasoning have led to significant progress in image and text generation tasks. However, the…
BIGS: Bimanual Category-agnostic Interaction Reconstruction from Monocular Videos via 3D Gaussian Splatting
Jeongwan On, Kyeonghwan Gwak, Gunyoung Kang +4
Reconstructing 3Ds of hand-object interaction (HOI) is a fundamental problem that can find numerous applications. Despite recent advances, there is no comprehensive pipeline yet fo…
EmoTalkingGaussian: Continuous Emotion-conditioned Talking Head Synthesis
Junuk Cha, Seongro Yoon, Valeriya Strizhkova +2
3D Gaussian splatting-based talking head synthesis has recently gained attention for its ability to render high-fidelity images with real-time inference speed. However, since it is…
Text2Relight: Creative Portrait Relighting with Text Guidance
Junuk Cha, Mengwei Ren, Krishna Kumar Singh +6
We present a lighting-aware image editing pipeline that, given a portrait image and a text prompt, performs single image relighting. Our model modifies the lighting and color of bo…
1st Place Solution to the 8th HANDS Workshop Challenge -- ARCTIC Track: 3DGS-based Bimanual Category-agnostic Interaction Reconstruction
Jeongwan On, Kyeonghwan Gwak, Gunyoung Kang +5
This report describes our 1st place solution to the 8th HANDS workshop challenge (ARCTIC track) in conjunction with ECCV 2024. In this challenge, we address the task of bimanual ca…
Text2HOI: Text-guided 3D Motion Generation for Hand-Object Interaction
Junuk Cha, Jihyeon Kim, Jae Shin Yoon +1
This paper introduces the first text-guided work for generating the sequence of hand-object interaction in 3D. The main challenge arises from the lack of labeled data where existin…
VLM-PL: Advanced Pseudo Labeling Approach for Class Incremental Object Detection via Vision-Language Model
Junsu Kim, Yunhoe Ku, Jihyeon Kim +2
In the field of Class Incremental Object Detection (CIOD), creating models that can continuously learn like humans is a major challenge. Pseudo-labeling methods, although initially…
3D Reconstruction of Interacting Multi-Person in Clothing from a Single Image
Junuk Cha, Hansol Lee, Jaewon Kim +3
This paper introduces a novel pipeline to reconstruct the geometry of interacting multi-person in clothing on a globally coherent scene space from a single image. The main challeng…
Dynamic Appearance Modeling of Clothed 3D Human Avatars using a Single Camera
Hansol Lee, Junuk Cha, Yunhoe Ku +2
The appearance of a human in clothing is driven not only by the pose but also by its temporal context, i.e., motion. However, such context has been largely neglected by existing mo…
HOReeNet: 3D-aware Hand-Object Grasping Reenactment
Changhwa Lee, Junuk Cha, Hansol Lee +3
We present HOReeNet, which tackles the novel task of manipulating images involving hands, objects, and their interactions. Especially, we are interested in transferring objects of…
Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement
Junuk Cha, Muhammad Saqlain, GeonU Kim +2
Estimating 3D poses and shapes in the form of meshes from monocular RGB images is challenging. Obviously, it is more difficult than estimating 3D poses only in the form of skeleton…