83 citations · 145 across the 21 of their papers we have counts for
22 papers
TanGO: Training-Free 3D Editing via Tangent-Space Guidance and Optimization
Siwoo Lim, Sunjae Yoon, Gwanhyeong Koo +2
While recent flow-matching 3D generative models (e.g., VecSet) adopt structured representations, their tokens share global context, causing conventional training-free editing to su…
InSpace: Structure-Aware 3D Indoor Scene Generation from a Single 360° Image
Gwanhyeong Koo, Hyunsu Kim, Youngji Kim +5
Recent advances in single image-to-3D generation have enabled high-quality asset synthesis, yet extending these capabilities to indoor scene generation remains challenging. Existin…
GADA: Geometry-Aware Deformable Aggregation for Image-Based Gaussian Splatting
Siwoo Lim, Sunjae Yoon, Gwanhyeong Koo +1
Gaussian Splatting has achieved significant improvements by incorporating warping-based techniques. However, such methods suffer from pixel-level inaccuracies due to uncertain geom…
SPECSIA: Stylization Dataset for Novel-View Enhancement in Drawing-based 3D Animation
Kyuwon Kim, Sunjae Yoon, Chang D. Yoo
Generating animation from a single 2D drawing is challenging because the output must preserve character appearance while remaining plausible and temporally coherent under motion. E…
Occlusion-robust Stylization for Drawing-based 3D Animation
Sunjae Yoon, Gwanhyeong Koo, Younghwan Lee +2
3D animation aims to generate a 3D animated video from an input image and a target 3D motion sequence. Recent advances in image-to-3D models enable the creation of animations direc…
FlowDrag: 3D-aware Drag-based Image Editing with Mesh-guided Deformation Vector Flow Fields
Gwanhyeong Koo, Sunjae Yoon, Younghwan Lee +2
Drag-based editing allows precise object manipulation through point-based control, offering user convenience. However, current methods often suffer from a geometric inconsistency p…
ITA-MDT: Image-Timestep-Adaptive Masked Diffusion Transformer Framework for Image-Based Virtual Try-On
Ji Woo Hong, Tri Ton, Trung X. Pham +3
This paper introduces ITA-MDT, the Image-Timestep-Adaptive Masked Diffusion Transformer Framework for Image-Based Virtual Try-On (IVTON), designed to overcome the limitations of pr…
TPC: Test-time Procrustes Calibration for Diffusion-based Human Image Animation
Sunjae Yoon, Gwanhyeong Koo, Younghwan Lee +1
Human image animation aims to generate a human motion video from the inputs of a reference human image and a target motion video. Current diffusion-based image animation systems ex…
DNI: Dilutional Noise Initialization for Diffusion Video Editing
Sunjae Yoon, Gwanhyeong Koo, Ji Woo Hong +1
Text-based diffusion video editing systems have been successful in performing edits with high fidelity and textual alignment. However, this success is limited to rigid-type editing…
FlexiEdit: Frequency-Aware Latent Refinement for Enhanced Non-Rigid Editing
Gwanhyeong Koo, Sunjae Yoon, Ji Woo Hong +1
Current image editing methods primarily utilize DDIM Inversion, employing a two-branch diffusion approach to preserve the attributes and layout of the original image. However, thes…
FRAG: Frequency Adapting Group for Diffusion Video Editing
Sunjae Yoon, Gwanhyeong Koo, Geonwoo Kim +1
In video editing, the hallmark of a quality edit lies in its consistent and unobtrusive adjustment. Modification, when integrated, must be smooth and subtle, preserving the natural…
Wavelet-Guided Acceleration of Text Inversion in Diffusion-Based Image Editing
Gwanhyeong Koo, Sunjae Yoon, Chang D. Yoo
In the field of image editing, Null-text Inversion (NTI) enables fine-grained editing while preserving the structure of the original image by optimizing null embeddings during the…
Neutral Editing Framework for Diffusion-based Video Editing
Sunjae Yoon, Gwanhyeong Koo, Ji Woo Hong +1
Text-conditioned image editing has succeeded in various types of editing based on a diffusion framework. Unfortunately, this success did not carry over to a video, which continues…
HEAR: Hearing Enhanced Audio Response for Video-grounded Dialogue
Sunjae Yoon, Dahyun Kim, Eunseop Yoon +3
Video-grounded Dialogue (VGD) aims to answer questions regarding a given multi-modal input comprising video, audio, and dialogue history. Although there have been numerous efforts…
SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation
Hyun Ryu, Sunjae Yoon, Hee Suk Yoon +2
Data augmentation is a crucial component in training neural networks to overcome the limitation imposed by data size, and several techniques have been studied for time series. Alth…
SCANet: Scene Complexity Aware Network for Weakly-Supervised Video Moment Retrieval
Sunjae Yoon, Gwanhyeong Koo, Dahyun Kim +1
Video moment retrieval aims to localize moments in video corresponding to a given language query. To avoid the expensive cost of annotating the temporal moments, weakly-supervised…
ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure
Hee Suk Yoon, Joshua Tian Jin Tee, Eunseop Yoon +4
Studies have shown that modern neural networks tend to be poorly calibrated due to over-confident predictions. Traditionally, post-processing methods have been used to calibrate th…
SMSMix: Sense-Maintained Sentence Mixup for Word Sense Disambiguation
Hee Suk Yoon, Eunseop Yoon, John Harvill +3
Word Sense Disambiguation (WSD) is an NLP task aimed at determining the correct sense of a word in a sentence from discrete sense choices. Although current systems have attained un…
Information-Theoretic Text Hallucination Reduction for Video-grounded Dialogue
Sunjae Yoon, Eunseop Yoon, Hee Suk Yoon +2
Video-grounded Dialogue (VGD) aims to decode an answer sentence to a question regarding a given video and dialogue context. Despite the recent success of multi-modal reasoning to g…
Selective Query-guided Debiasing for Video Corpus Moment Retrieval
Sunjae Yoon, Ji Woo Hong, Eunseop Yoon +4
Video moment retrieval (VMR) aims to localize target moments in untrimmed videos pertinent to a given textual query. Existing retrieval systems tend to rely on retrieval bias as a…
Structured Co-reference Graph Attention for Video-grounded Dialogue
Junyeong Kim, Sunjae Yoon, Dahyun Kim +1
A video-grounded dialogue system referred to as the Structured Co-reference Graph Attention (SCGA) is presented for decoding the answer sequence to a question regarding a given vid…
VLANet: Video-Language Alignment Network for Weakly-Supervised Video Moment Retrieval
Minuk Ma, Sunjae Yoon, Junyeong Kim +3
Video Moment Retrieval (VMR) is a task to localize the temporal moment in untrimmed video specified by natural language query. For VMR, several methods that require full supervisio…