Cover Image

SynthPID: P&ID digitization from Topology-Preserving Synthetic Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Prasad, Suraj, Mahapatra, Pinak
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Speech-Synchronized Whiteboard Generation via VLM-Driven Structured Drawing Representations
by: Prasad, Suraj, et al.
Published: (2026)

MultiFloodSynth: Multi-Annotated Flood Synthetic Dataset Generation
by: Kang, YoonJe, et al.
Published: (2025)

SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training?
by: Hammoud, Hasan Abed Al Kader, et al.
Published: (2024)

Cancer-Net SCa-Synth: An Open Access Synthetically Generated 2D Skin Lesion Dataset for Skin Cancer Classification
by: Tai, Chi-en Amy, et al.
Published: (2024)

Replication Study: Federated Text-Driven Prompt Generation for Vision-Language Models
by: Prasad, Suraj, et al.
Published: (2025)

SynthRL: Scaling Visual Reasoning with Verifiable Data Synthesis
by: Wu, Zijian, et al.
Published: (2025)

Learn2Synth: Learning Optimal Data Synthesis Using Hypergradients for Brain Image Segmentation
by: Hu, Xiaoling, et al.
Published: (2024)

Federated Knowledge Recycling: Privacy-Preserving Synthetic Data Sharing
by: Lomurno, Eugenio, et al.
Published: (2024)

Enhancing the Utility of Privacy-Preserving Cancer Classification using Synthetic Data
by: Osuala, Richard, et al.
Published: (2024)

SynthVision -- Harnessing Minimal Input for Maximal Output in Computer Vision Models using Synthetic Image data
by: Kularathne, Yudara, et al.
Published: (2024)

FUSE: First-Order and Second-Order Unified SynthEsis in Stochastic Optimization
by: Jiang, Zhanhong, et al.
Published: (2025)

Unsupervised Assessment of Landscape Shifts Based on Persistent Entropy and Topological Preservation
by: Basterrech, Sebastian
Published: (2024)

Synthetically Enhanced: Unveiling Synthetic Data's Potential in Medical Imaging Research
by: Khosravi, Bardia, et al.
Published: (2023)

Advancing Melanoma Diagnosis with Self-Supervised Neural Networks: Evaluating the Effectiveness of Different Techniques
by: Vusirikala, Srivishnu, et al.
Published: (2024)

Topograph: An efficient Graph-Based Framework for Strictly Topology Preserving Image Segmentation
by: Lux, Laurin, et al.
Published: (2024)

Exploring the Potential of Synthetic Data to Replace Real Data
by: Lee, Hyungtae, et al.
Published: (2024)

On the Equivalency, Substitutability, and Flexibility of Synthetic Data
by: Chang, Che-Jui, et al.
Published: (2024)

Synthetic Data for Robust Runway Detection
by: Chigot, Estelle, et al.
Published: (2025)

Detect Fake with Fake: Leveraging Synthetic Data-driven Representation for Synthetic Image Detection
by: Otake, Hina, et al.
Published: (2024)

SYNAuG: Exploiting Synthetic Data for Data Imbalance Problems
by: Ye-Bin, Moon, et al.
Published: (2023)

Dealing with Synthetic Data Contamination in Online Continual Learning
by: Wang, Maorong, et al.
Published: (2024)

Learning from Synthetic Data for Visual Grounding
by: He, Ruozhen, et al.
Published: (2024)

Which Models have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness
by: Srinivas, Suraj, et al.
Published: (2023)

Discriminative Feature Attributions: Bridging Post Hoc Explainability and Inherent Interpretability
by: Bhalla, Usha, et al.
Published: (2023)

T3: Test-Time Model Merging in VLMs for Zero-Shot Medical Imaging Analysis
by: Imam, Raza, et al.
Published: (2025)

Scalability in Building Component Data Annotation: Enhancing Facade Material Classification with Synthetic Data
by: Harrison, Josie, et al.
Published: (2024)

Explainable YOLO-Based Dyslexia Detection in Synthetic Handwriting Data
by: Fink, Nora
Published: (2025)

HandCraft: Dynamic Sign Generation for Synthetic Data Augmentation
by: Rios, Gaston Gustavo, et al.
Published: (2025)

Position Paper: Building Trust in Synthetic Data for Clinical AI
by: Babu, Krishan Agyakari Raja, et al.
Published: (2025)

Provably Improving Generalization of Few-Shot Models with Synthetic Data
by: Nguyen, Lan-Cuong, et al.
Published: (2025)

Synthetic Data is an Elegant GIFT for Continual Vision-Language Models
by: Wu, Bin, et al.
Published: (2025)

Reliability in Semantic Segmentation: Can We Use Synthetic Data?
by: Loiseau, Thibaut, et al.
Published: (2023)

Multi-Armed Bandit Approach for Optimizing Training on Synthetic Data
by: Kerim, Abdulrahman, et al.
Published: (2024)

Privacy-Preserving Model Transcription with Differentially Private Synthetic Distillation
by: Liu, Bochao, et al.
Published: (2026)

Training-Free Synthetic Data Generation with Dual IP-Adapter Guidance
by: Boudier, Luc, et al.
Published: (2025)

Enhancing Object Detection Accuracy in Autonomous Vehicles Using Synthetic Data
by: Voronin, Sergei, et al.
Published: (2024)

Leveraging Programmatically Generated Synthetic Data for Differentially Private Diffusion Training
by: Choi, Yujin, et al.
Published: (2024)

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

Improved Generation of Synthetic Imaging Data Using Feature-Aligned Diffusion
by: Nair, Lakshmi
Published: (2024)

Efficient Long-Tail Learning in Latent Space by sampling Synthetic Data
by: Sharma, Nakul
Published: (2025)