:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Min, Seonghui, Oh, Hyun-Jic, Jeong, Won-Ki
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2407.14434
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Controllable and Efficient Multi-Class Pathology Nuclei Data Augmentation using Text-Conditioned Diffusion Models
by: Oh, Hyun-Jic, et al.
Published: (2024)

Synthetic Data Augmentation using Pre-trained Diffusion Models for Long-tailed Food Image Classification
by: Koh, GaYeon, et al.
Published: (2025)

Virtual Multiplex Staining for Histological Images using a Marker-wise Conditioned Diffusion Model
by: Oh, Hyun-Jic, et al.
Published: (2025)

JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers
by: Byung-Ki, Kwon, et al.
Published: (2025)

Reference-free Axial Super-resolution of 3D Microscopy Images using Implicit Neural Representation with a 2D Diffusion Prior
by: Lee, Kyungryun, et al.
Published: (2024)

Tissue Aware Nuclei Detection and Classification Model for Histopathology Images
by: Xu, Kesi, et al.
Published: (2025)

Leveraging Spatial Context for Positive Pair Sampling in Histopathology Image Representation Learning
by: Robles, Willmer Rafell Quinones, et al.
Published: (2025)

Noise Map Guidance: Inversion with Spatial Context for Real Image Editing
by: Cho, Hansam, et al.
Published: (2024)

Graph Conditioned Diffusion for Controllable Histopathology Image Generation
by: Cechnicka, Sarah, et al.
Published: (2025)

DiffusionQC: Artifact Detection in Histopathology via Diffusion Model
by: Wang, Zhenzhen, et al.
Published: (2026)

WISE-FUSE: Efficient Whole Slide Image Encoding via Coarse-to-Fine Patch Selection with VLM and LLM Knowledge Fusion
by: Shin, Yonghan, et al.
Published: (2025)

The Devil is in the Details: Simple Remedies for Image-to-LiDAR Representation Learning
by: Jo, Wonjun, et al.
Published: (2025)

MemBench: Memorized Image Trigger Prompt Dataset for Diffusion Models
by: Hong, Chunsan, et al.
Published: (2024)

Early Failure Detection and Intervention in Video Diffusion Models
by: Byung-Ki, Kwon, et al.
Published: (2026)

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis
by: Lee, Byung Hyun, et al.
Published: (2025)

Diffusion Classifiers Understand Compositionality, but Conditions Apply
by: Jeong, Yujin, et al.
Published: (2025)

Spatial-Temporal Pre-Training for Embryo Viability Prediction Using Time-Lapse Videos
by: Shi, Zhiyi, et al.
Published: (2025)

Regularizing CNNs using Confusion Penalty Based Label Smoothing for Histopathology Images
by: Kuiry, Somenath, et al.
Published: (2024)

Joint Conditional Diffusion Model for Image Restoration with Mixed Degradations
by: Yue, Yufeng, et al.
Published: (2024)

YOLO-Drone: An Efficient Object Detection Approach Using the GhostHead Network for Drone Images
by: Jung, Hyun-Ki
Published: (2025)

DeNuC: Decoupling Nuclei Detection and Classification in Histopathology
by: Yang, Zijiang, et al.
Published: (2026)

VSC: Visual Search Compositional Text-to-Image Diffusion Model
by: Dat, Do Huu, et al.
Published: (2025)

A Text-Guided Vision Model for Enhanced Recognition of Small Instances
by: Jung, Hyun-Ki
Published: (2026)

Finer Disentanglement of Aleatoric Uncertainty Can Accelerate Chemical Histopathology Imaging
by: Oh, Ji-Hun, et al.
Published: (2025)

AWGUNET: Attention-Aided Wavelet Guided U-Net for Nuclei Segmentation in Histopathology Images
by: Roy, Ayush, et al.
Published: (2024)

Histopathology Image Report Generation by Vision Language Model with Multimodal In-Context Learning
by: Liu, Shih-Wen, et al.
Published: (2025)

Conditional Diffusion Model for Longitudinal Medical Image Generation
by: Dao, Duy-Phuong, et al.
Published: (2024)

Image Similarity using An Ensemble of Context-Sensitive Models
by: Liao, Zukang, et al.
Published: (2024)

Jointly Conditioned Diffusion Model for Multi-View Pose-Guided Person Image Synthesis
by: Xie, Chengyu, et al.
Published: (2025)

VENTURA: Adapting Image Diffusion Models for Unified Task Conditioned Navigation
by: Zhang, Arthur, et al.
Published: (2025)

UCMNet: Uncertainty-Aware Context Memory Network for Under-Display Camera Image Restoration
by: Kim, Daehyun, et al.
Published: (2026)

MSDM: Generating Task-Specific Pathology Images with a Multimodal Conditioned Diffusion Model for Cell and Nuclei Segmentation
by: Winter, Dominik, et al.
Published: (2025)

PathDiff: Histopathology Image Synthesis with Unpaired Text and Mask Conditions
by: Bhosale, Mahesh, et al.
Published: (2025)

Hierarchical Classification for Improved Histopathology Image Analysis
by: Byeon, Keunho, et al.
Published: (2026)

Quilt-1M: One Million Image-Text Pairs for Histopathology
by: Ikezogwo, Wisdom Oluchi, et al.
Published: (2023)

Prompt-Free Lightweight SAM Adaptation for Histopathology Nuclei Segmentation with Strong Cross-Dataset Generalization
by: Maqsood, Muhammad Hassan, et al.
Published: (2026)

Jigsaw Regularization in Whole-Slide Image Classification
by: Jeong, So Won, et al.
Published: (2026)

Clinical-grade Multi-Organ Pathology Report Generation for Multi-scale Whole Slide Images via a Semantically Guided Medical Text Foundation Model
by: Tan, Jing Wei, et al.
Published: (2024)

LVMark: Robust Watermark for Latent Video Diffusion Models
by: Jang, MinHyuk, et al.
Published: (2024)

Paired Image Generation with Diffusion-Guided Diffusion Models
by: Zhang, Haoxuan, et al.
Published: (2025)