N. Kwak

Discriminative Score Function: Turning Pretrained Models into Functional Generative Priors

Junhoo Lee, Hyeonjin Kim, Sangbum Han +1

Discriminative models are trained with task-specific objectives such as classification, detection, or representation learning, yet their practical utility depends on generalizing b…

3DROID: A Renderable 3D Gaussian Dataset with Measured Per-Scene Reliability

Wonguen Cho, Junhoo Lee, Nojun Kwak

Robot manipulation models primarily reason from 2D observations while acting in the 3D physical world. To bridge this gap, recent work has augmented robot data with geometric prior…

Bootstrapping Video Interaction Generation with Synthetic State Transitions

Jiho Jang, Jinyoung Kim, Nojun Kwak +2

While recent video generative models can synthesize high-fidelity videos, they struggle to portray plausible physical interactions and the resulting state transitions, a critical b…

ReSpinQuant: Efficient Layer-Wise LLM Quantization via Subspace Residual Rotation Approximation

Suyoung Kim, Sunghyun Wee, Hyeonjin Kim +3

Rotation-based Post-Training Quantization (PTQ) has emerged as a promising solution for mitigating activation outliers in the quantization of Large Language Models (LLMs). Global r…

From Local to Global to Mechanistic: An iERF-Centered Unified Framework for Interpreting Vision Models

Yearim Kim, Sangyu Han, Nojun Kwak

Modern vision models achieve remarkable accuracy, but explaining where evidence arises, what the model encodes, and how internal computations assemble that evidence remains fragmen…

4DGS360: 360° Gaussian Reconstruction of Dynamic Objects from a Single Video

Jae Won Jang, Yeonjin Chang, Wonsik Shin +2

We introduce 4DGS360, a diffusion-free framework for 360 $^{\circ}$ dynamic object reconstruction from casual monocular video. Existing methods often fail to reconstruct consistent…

Multi-dimensional Preference Alignment by Conditioning Reward Itself

Jiho Jang, Jinyoung Kim, Kyungjune Baek +1

Reinforcement Learning from Human Feedback has emerged as a standard for aligning diffusion models. However, we identify a fundamental limitation in the standard DPO formulation be…

LoGoColor: Local-Global 3D Colorization for 360° Scenes

Yeonjin Chang, Juhwan Cho, Seunghyeon Seo +2

Single-channel 3D reconstruction is widely used in fields such as robotics and medical imaging. While these methods are good at reconstructing 3D geometry, their outputs are typica…

Point-to-Point: Sparse Motion Guidance for Controllable Video Editing

Yeji Song, Jaehyun Lee, Mijin Koo +2

Accurately preserving motion while editing a subject remains a core challenge in video editing tasks. Existing methods often face a trade-off between edit and motion fidelity, as t…

Causal Interpretation of Sparse Autoencoder Features in Vision

Sangyu Han, Yearim Kim, Nojun Kwak

Understanding what sparse auto-encoder (SAE) features in vision transformers truly represent is usually done by inspecting the patches where a feature's activation is highest. Howe…

Style Composition within Distinct LoRA modules for Traditional Art

Jaehyun Lee, Wonhark Park, Wonsik Shin +3

Diffusion-based text-to-image models have achieved remarkable results in synthesizing diverse images from text prompts and can capture specific artistic styles via style personaliz…

What's Making That Sound Right Now? Video-centric Audio-Visual Localization

Hahyeon Choi, Junhoo Lee, Nojun Kwak

Audio-Visual Localization (AVL) aims to identify sound-emitting sources within a visual scene. However, existing studies focus on image-level audio-visual associations, failing to…

ReFlex: Text-Guided Editing of Real Images in Rectified Flow via Mid-Step Feature Extraction and Attention Adaptation

Jimyeong Kim, Jungwon Park, Yeji Song +2

Rectified Flow text-to-image models surpass diffusion models in image quality and text alignment, but adapting ReFlow for real-image editing remains challenging. We propose a new r…

Generative Head-Mounted Camera Captures for Photorealistic Avatars

Shaojie Bai, Seunghyeon Seo, Yida Wang +8

Enabling photorealistic avatar animations in virtual and augmented reality (VR/AR) has been challenging because of the difficulty of obtaining ground truth state of faces. It is ph…

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…

Unlocking the Potential of Unlabeled Data in Semi-Supervised Domain Generalization

Dongkwan Lee, Kyomin Hwang, Nojun Kwak

We address the problem of semi-supervised domain generalization (SSDG), where the distributions of train and test data differ, and only a small amount of labeled data along with a…

A Revisit to the Decoder for Camouflaged Object Detection

Seung Woo Ko, Joopyo Hong, Suyoung Kim +5

Camouflaged object detection (COD) aims to generate a fine-grained segmentation map of camouflaged objects hidden in their background. Due to the hidden nature of camouflaged objec…

DivCon-NeRF: Diverse and Consistent Ray Augmentation for Few-Shot NeRF

Ingyun Lee, Jae Won Jang, Seunghyeon Seo +1

Neural Radiance Field (NeRF) has shown remarkable performance in novel view synthesis but requires numerous multi-view images, limiting its practicality in few-shot scenarios. Ray…

ROODI: Reconstructing Occluded Objects with Denoising Inpainters

Yeonjin Chang, Erqun Dong, Seunghyeon Seo +2

While the quality of novel-view images has improved dramatically with 3D Gaussian Splatting, extracting specific objects from scenes remains challenging. Isolating individual 3D Ga…

Bi-ICE: An Inner Interpretable Framework for Image Classification via Bi-directional Interactions between Concept and Input Embeddings

Jinyung Hong, Yearim Kim, Keun Hee Park +3

Inner interpretability is a promising field aiming to uncover the internal mechanisms of AI systems through scalable, automated methods. While significant research has been conduct…

Decompose the model: Mechanistic interpretability in image models with Generalized Integrated Gradients (GIG)

Yearim Kim, Sangyu Han, Sangbum Han +1

In the field of eXplainable AI (XAI) in language models, the progression from local explanations of individual decisions to global explanations with high-level concepts has laid th…

Coreset Selection for Object Detection

Hojun Lee, Suyoung Kim, Junhoo Lee +2

Coreset selection is a method for selecting a small, representative subset of an entire dataset. It has been primarily researched in image classification, assuming there is only on…

Semi-Supervised Domain Adaptation for Wildfire Detection

JooYoung Jang, Youngseo Cha, Jisu Kim +5

Recently, both the frequency and intensity of wildfires have increased worldwide, primarily due to climate change. In this paper, we propose a novel protocol for wildfire detection…