Cover Image

A Conditional Generative Framework for Synthetic Data Augmentation in Segmenting Thin and Elongated Structures in Biological Images

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Yi, Zhang, Yichi
Format:	Preprint
Published:	2025
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

Knowledge Augmentation via Synthetic Data: A Framework for Real-World ECG Image Classification
by: Wang, Xiaoyu, et al.
Published: (2025)

Diffusion Noise Feature: Accurate and Fast Generated Image Detection
by: Zhang, Yichi, et al.
Published: (2023)

What Makes Synthetic Data Effective in Image Segmentation
by: Zhang, Jinjin, et al.
Published: (2026)

SemiSAM: Enhancing Semi-Supervised Medical Image Segmentation via SAM-Assisted Consistency Regularization
by: Zhang, Yichi, et al.
Published: (2023)

Unleashing the Potential of SAM2 for Biomedical Images and Videos: A Survey
by: Zhang, Yichi, et al.
Published: (2024)

Segment Anything Model for Medical Image Segmentation: Current Applications and Future Directions
by: Zhang, Yichi, et al.
Published: (2024)

Mask Factory: Towards High-quality Synthetic Data Generation for Dichotomous Image Segmentation
by: Qian, Haotian, et al.
Published: (2024)

Enhancing the Reliability of Segment Anything Model for Auto-Prompting Medical Image Segmentation with Uncertainty Rectification
by: Zhang, Yichi, et al.
Published: (2023)

Synthetic Instance Segmentation from Semantic Image Segmentation Masks
by: Shen, Yuchen, et al.
Published: (2023)

AnySynth: Harnessing the Power of Image Synthetic Data Generation for Generalized Vision-Language Tasks
by: Li, You, et al.
Published: (2024)

Beyond Pixel-Wise Supervision for Medical Image Segmentation: From Traditional Models to Foundation Models
by: Shi, Yuyan, et al.
Published: (2024)

SVAD: From Single Image to 3D Avatar via Synthetic Data Generation with Video Diffusion and Data Augmentation
by: Choi, Yonwoo
Published: (2025)

Principal Component Clustering for Semantic Segmentation in Synthetic Data Generation
by: Stillger, Felix, et al.
Published: (2024)

Leveraging Diffusion Models for Synthetic Data Augmentation in Protein Subcellular Localization Classification
by: Lin, Sylvey, et al.
Published: (2025)

Auto-Generating Weak Labels for Real & Synthetic Data to Improve Label-Scarce Medical Image Segmentation
by: Deshpande, Tanvi, et al.
Published: (2024)

Zero Shot Domain Adaptive Semantic Segmentation by Synthetic Data Generation and Progressive Adaptation
by: Luo, Jun, et al.
Published: (2025)

SegAnyPET: Universal Promptable Segmentation from Positron Emission Tomography Images
by: Zhang, Yichi, et al.
Published: (2025)

Generative Data Augmentation for Object Point Cloud Segmentation
by: Zhu, Dekai, et al.
Published: (2025)

LangDAug: Langevin Data Augmentation for Multi-Source Domain Generalization in Medical Image Segmentation
by: Tiwary, Piyush, et al.
Published: (2025)

Improving Heart Rejection Detection in XPCI Images Using Synthetic Data Augmentation
by: Samardžija, Jakov, et al.
Published: (2025)

Data Augmentation for High-Fidelity Generation of CAR-T/NK Immunological Synapse Images
by: Zhang, Xiang, et al.
Published: (2026)

Structured and Abstractive Reasoning on Multi-modal Relational Knowledge Images
by: Zhang, Yichi, et al.
Published: (2025)

Point, Segment and Count: A Generalized Framework for Object Counting
by: Huang, Zhizhong, et al.
Published: (2023)

An Augmentation-based Model Re-adaptation Framework for Robust Image Segmentation
by: Zuo, Zheming, et al.
Published: (2024)

Improved Multi-Task Brain Tumour Segmentation with Synthetic Data Augmentation
by: Ferreira, André, et al.
Published: (2024)

SwiftI2V: Efficient High-Resolution Image-to-Video Generation via Conditional Segment-wise Generation
by: Liu, YaoYang, et al.
Published: (2026)

Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation
by: Feng, Yihong, et al.
Published: (2025)

A Training-free Synthetic Data Selection Method for Semantic Segmentation
by: Tang, Hao, et al.
Published: (2025)

EntAugment: Entropy-Driven Adaptive Data Augmentation Framework for Image Classification
by: Yang, Suorong, et al.
Published: (2024)

ClimaOoD: Improving Anomaly Segmentation via Physically Realistic Synthetic Data
by: Liu, Yuxing, et al.
Published: (2025)

A Unified Agentic Framework for Evaluating Conditional Image Generation
by: Wang, Jifang, et al.
Published: (2025)

Disconnect to Connect: A Data Augmentation Method for Improving Topology Accuracy in Image Segmentation
by: Valverde, Juan Miguel, et al.
Published: (2025)

SRMF: A Data Augmentation and Multimodal Fusion Approach for Long-Tail UHR Satellite Image Segmentation
by: Guo, Yulong, et al.
Published: (2025)

Scaling Human Activity Recognition: A Comparative Evaluation of Synthetic Data Generation and Augmentation Techniques
by: Leng, Zikang, et al.
Published: (2025)

R&D: Balancing Reliability and Diversity in Synthetic Data Augmentation for Semantic Segmentation
by: Che, Huy, et al.
Published: (2026)

Mamba-Sea: A Mamba-based Framework with Global-to-Local Sequence Augmentation for Generalizable Medical Image Segmentation
by: Cheng, Zihan, et al.
Published: (2025)

Prompt-Free Conditional Diffusion for Multi-object Image Augmentation
by: Wang, Haoyu, et al.
Published: (2025)

Uncovering Modality Discrepancy and Generalization Illusion for General-Purpose 3D Medical Segmentation
by: Zhang, Yichi, et al.
Published: (2026)

Revisiting Data Scaling in Medical Image Segmentation via Topology-Aware Augmentation
by: Chu, Yuetan, et al.
Published: (2025)

USegMix: Unsupervised Segment Mix for Efficient Data Augmentation in Pathology Images
by: Wang, Jiamu, et al.
Published: (2025)