Cover Image

Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Oh, Yeongtak, Lee, Jonghyun, Choi, Jooyoung, Jung, Dahuin, Hwang, Uiwon, Yoon, Sungroh
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors
by: Lee, Jonghyun, et al.
Published: (2024)

On mitigating stability-plasticity dilemma in CLIP-guided image morphing via geodesic distillation loss
by: Oh, Yeongtak, et al.
Published: (2024)

SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation
by: Hwang, Uiwon, et al.
Published: (2024)

Style-Friendly SNR Sampler for Style-Driven Generation
by: Choi, Jooyoung, et al.
Published: (2024)

Improving Diffusion-Based Generative Models via Approximated Optimal Transport
by: Kim, Daegyu, et al.
Published: (2024)

STAG: Structural Test-time Alignment of Gradients for Online Adaptation
by: Shin, Juhyeon, et al.
Published: (2024)

Disentangled Motion Modeling for Video Frame Interpolation
by: Lew, Jaihyun, et al.
Published: (2024)

Guiding What Not to Generate: Automated Negative Prompting for Text-Image Alignment
by: Park, Sangha, et al.
Published: (2025)

ControlDreamer: Blending Geometry and Style in Text-to-3D
by: Oh, Yeongtak, et al.
Published: (2023)

Normality Addition via Normality Detection in Industrial Image Anomaly Detection Models
by: Yi, Jihun, et al.
Published: (2024)

Omni-Persona: Systematic Benchmarking and Improving Omnimodal Personalization
by: Oh, Yeongtak, et al.
Published: (2026)

Large-Scale Text-to-Image Model with Inpainting is a Zero-Shot Subject-Driven Image Generator
by: Shin, Chaehun, et al.
Published: (2024)

Know "No" Better: A Data-Driven Approach for Enhancing Negation Awareness in CLIP
by: Park, Junsung, et al.
Published: (2025)

Balancing Saliency and Coverage: Semantic Prominence-Aware Budgeting for Visual Token Compression in VLMs
by: Lee, Jaehoon, et al.
Published: (2026)

Negative-Guided Subject Fidelity Optimization for Zero-Shot Subject-Driven Generation
by: Shin, Chaehun, et al.
Published: (2025)

Textual Training for the Hassle-Free Removal of Unwanted Visual Data: Case Studies on OOD and Hateful Image Detection
by: Lee, Saehyung, et al.
Published: (2024)

Improving Geometry in Sparse-View 3DGS via Reprojection-based DoF Separation
by: Kim, Yongsung, et al.
Published: (2024)

Contextualized Visual Personalization in Vision-Language Models
by: Oh, Yeongtak, et al.
Published: (2026)

RePIC: Reinforced Post-Training for Personalizing Multi-Modal Language Models
by: Oh, Yeongtak, et al.
Published: (2025)

DCText: Scheduled Attention Masking for Visual Text Generation via Divide-and-Conquer Strategy
by: Song, Jaewoo, et al.
Published: (2025)

DefectFill: Realistic Defect Generation with Inpainting Diffusion Model for Visual Inspection
by: Song, Jaewoo, et al.
Published: (2025)

TextGuider: Training-Free Guidance for Text Rendering via Attention Alignment
by: Baek, Kanghyun, et al.
Published: (2025)

Discriminator-Guided Adaptive Diffusion for Source-Free Test-Time Adaptation under Image Corruptions
by: Olivato, Francesco, et al.
Published: (2026)

CLIP-RD: Relative Distillation for Efficient CLIP Knowledge Distillation
by: Chung, Jeannie, et al.
Published: (2026)

COREA: Coupled Relightable 3D Gaussians and SDFs for Efficient Normal Alignment
by: Lee, Jaeyoon, et al.
Published: (2025)

Diagnosing and Correcting Concept Omission in Multimodal Diffusion Transformers
by: Baek, Kanghyun, et al.
Published: (2026)

On Train-Test Class Overlap and Detection for Image Retrieval
by: Song, Chull Hwan, et al.
Published: (2024)

CKNN: Cleansed k-Nearest Neighbor for Unsupervised Video Anomaly Detection
by: Yi, Jihun, et al.
Published: (2024)

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models
by: Jung, Mingi, et al.
Published: (2025)

FEAT: Fashion Editing and Try-On from Any Design
by: Kwon, Soye, et al.
Published: (2026)

Feature Augmentation based Test-Time Adaptation
by: Cho, Younggeol, et al.
Published: (2024)

SteeringTTA: Guiding Diffusion Trajectories for Robust Test-Time-Adaptation
by: Yu, Jihyun, et al.
Published: (2025)

Enhancing Alignment for Unified Multimodal Models via Semantically-Grounded Supervision
by: Kim, Jiyeong, et al.
Published: (2026)

BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation
by: Lee, Daeun, et al.
Published: (2024)

TTA-DAME: Test-Time Adaptation with Domain Augmentation and Model Ensemble for Dynamic Driving Conditions
by: Jeon, Dongjae, et al.
Published: (2025)

Toward Robust Hyper-Detailed Image Captioning: A Multiagent Approach and Dual Evaluation Metrics for Factuality and Coverage
by: Lee, Saehyung, et al.
Published: (2024)

Long-Tailed Recognition on Binary Networks by Calibrating A Pre-trained Model
by: Kim, Jihun, et al.
Published: (2024)

PC-LoRA: Low-Rank Adaptation for Progressive Model Compression with Knowledge Distillation
by: Hwang, Injoon, et al.
Published: (2024)

SyncMask: Synchronized Attentional Masking for Fashion-centric Vision-Language Pretraining
by: Song, Chull Hwan, et al.
Published: (2024)

TRACE: Your Diffusion Model is Secretly an Instance Edge Detector
by: Jo, Sanghyun, et al.
Published: (2025)