Controllable Image Synthesis of Industrial Data Using Stable Diffusion
Fuente:
arXiv
Saved in:
| Main Authors: | Valvano, Gabriele, Agostino, Antonino, De Magistris, Giovanni, Graziano, Antonino, Veneri, Giacomo |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Semantically Guided Action Anticipation
by: Diko, Anxhelo, et al.
Published: (2024)
by: Diko, Anxhelo, et al.
Published: (2024)
Synthetic Data Augmentation for Multi-Task Chinese Porcelain Classification: A Stable Diffusion Approach
by: Ling, Ziyao, et al.
Published: (2026)
by: Ling, Ziyao, et al.
Published: (2026)
Exploiting Multimodal Synthetic Data for Egocentric Human-Object Interaction Detection in an Industrial Scenario
by: Leonardi, Rosario, et al.
Published: (2023)
by: Leonardi, Rosario, et al.
Published: (2023)
A spatiotemporal style transfer algorithm for dynamic visual stimulus generation
by: Greco, Antonino, et al.
Published: (2024)
by: Greco, Antonino, et al.
Published: (2024)
Sensory robustness through top-down feedback and neural stochasticity in recurrent vision models
by: Greco, Antonino, et al.
Published: (2025)
by: Greco, Antonino, et al.
Published: (2025)
Improved Generation of Synthetic Imaging Data Using Feature-Aligned Diffusion
by: Nair, Lakshmi
Published: (2024)
by: Nair, Lakshmi
Published: (2024)
OSMGen: Highly Controllable Satellite Image Synthesis using OpenStreetMap Data
by: Ziashahabi, Amir, et al.
Published: (2025)
by: Ziashahabi, Amir, et al.
Published: (2025)
Stable and Near-Reversible Diffusion ODE Solvers for Image Editing
by: Barancikova, Barbora, et al.
Published: (2026)
by: Barancikova, Barbora, et al.
Published: (2026)
CookingDiffusion: Cooking Procedural Image Generation with Stable Diffusion
by: Wang, Yuan, et al.
Published: (2025)
by: Wang, Yuan, et al.
Published: (2025)
Learn2Synth: Learning Optimal Data Synthesis Using Hypergradients for Brain Image Segmentation
by: Hu, Xiaoling, et al.
Published: (2024)
by: Hu, Xiaoling, et al.
Published: (2024)
Image-based Outlier Synthesis With Training Data
by: Regmi, Sudarshan
Published: (2024)
by: Regmi, Sudarshan
Published: (2024)
Controlled Face Manipulation and Synthesis for Data Augmentation
by: Kirchner, Joris, et al.
Published: (2026)
by: Kirchner, Joris, et al.
Published: (2026)
Not Every Image is Worth a Thousand Words: Quantifying Originality in Stable Diffusion
by: Haviv, Adi, et al.
Published: (2024)
by: Haviv, Adi, et al.
Published: (2024)
Leveraging Stable Diffusion for Monocular Depth Estimation via Image Semantic Encoding
by: Xia, Jingming, et al.
Published: (2025)
by: Xia, Jingming, et al.
Published: (2025)
From Broad Exploration to Stable Synthesis: Entropy-Guided Optimization for Autoregressive Image Generation
by: Song, Han, et al.
Published: (2026)
by: Song, Han, et al.
Published: (2026)
Diffusion-Based Data Augmentation for Medical Image Segmentation
by: Nazir, Maham, et al.
Published: (2025)
by: Nazir, Maham, et al.
Published: (2025)
Enhancing Fingerprint Image Synthesis with GANs, Diffusion Models, and Style Transfer Techniques
by: Tang, W., et al.
Published: (2024)
by: Tang, W., et al.
Published: (2024)
Supervised Anomaly Detection for Complex Industrial Images
by: Baitieva, Aimira, et al.
Published: (2024)
by: Baitieva, Aimira, et al.
Published: (2024)
Adversarially Robust Industrial Anomaly Detection Through Diffusion Model
by: Cao, Yuanpu, et al.
Published: (2024)
by: Cao, Yuanpu, et al.
Published: (2024)
Exploring Low-Dimensional Subspaces in Diffusion Models for Controllable Image Editing
by: Chen, Siyi, et al.
Published: (2024)
by: Chen, Siyi, et al.
Published: (2024)
Towards Controllable Image Generation through Representation-Conditioned Diffusion Models
by: Karthikeyan, Nithesh Chandher, et al.
Published: (2026)
by: Karthikeyan, Nithesh Chandher, et al.
Published: (2026)
Manipulating Embeddings of Stable Diffusion Prompts
by: Deckers, Niklas, et al.
Published: (2023)
by: Deckers, Niklas, et al.
Published: (2023)
Improving Diagnostic Accuracy for Oral Cancer with inpainting Synthesis Lesions Generated Using Diffusion Models
by: Lee, Yong Oh, et al.
Published: (2025)
by: Lee, Yong Oh, et al.
Published: (2025)
Controlled Training Data Generation with Diffusion Models
by: Yeo, Teresa, et al.
Published: (2024)
by: Yeo, Teresa, et al.
Published: (2024)
Machine Learning in Industrial Quality Control of Glass Bottle Prints
by: Bundscherer, Maximilian, et al.
Published: (2024)
by: Bundscherer, Maximilian, et al.
Published: (2024)
Diffusion-based Image Generation for In-distribution Data Augmentation in Surface Defect Detection
by: Capogrosso, Luigi, et al.
Published: (2024)
by: Capogrosso, Luigi, et al.
Published: (2024)
Cascaded Diffusion Models for 2D and 3D Microscopy Image Synthesis to Enhance Cell Segmentation
by: Yilmaz, Rüveyda, et al.
Published: (2024)
by: Yilmaz, Rüveyda, et al.
Published: (2024)
SurGrID: Controllable Surgical Simulation via Scene Graph to Image Diffusion
by: Frisch, Yannik, et al.
Published: (2025)
by: Frisch, Yannik, et al.
Published: (2025)
Zero-Shot Video Restoration and Enhancement Using Pre-Trained Image Diffusion Model
by: Cao, Cong, et al.
Published: (2024)
by: Cao, Cong, et al.
Published: (2024)
Advancing AI-Powered Medical Image Synthesis: Insights from MedVQA-GI Challenge Using CLIP, Fine-Tuned Stable Diffusion, and Dream-Booth + LoRA
by: Peter, Ojonugwa Oluwafemi Ejiga, et al.
Published: (2025)
by: Peter, Ojonugwa Oluwafemi Ejiga, et al.
Published: (2025)
Self-Supervised Iterative Refinement for Anomaly Detection in Industrial Quality Control
by: Aqeel, Muhammad, et al.
Published: (2024)
by: Aqeel, Muhammad, et al.
Published: (2024)
Unsupervised Imaging Inverse Problems with Diffusion Distribution Matching
by: Meanti, Giacomo, et al.
Published: (2025)
by: Meanti, Giacomo, et al.
Published: (2025)
Are Synthetic Data Useful for Egocentric Hand-Object Interaction Detection?
by: Leonardi, Rosario, et al.
Published: (2023)
by: Leonardi, Rosario, et al.
Published: (2023)
Enhancing Image Layout Control with Loss-Guided Diffusion Models
by: Patel, Zakaria, et al.
Published: (2024)
by: Patel, Zakaria, et al.
Published: (2024)
Supersampling Stable Diffusion and Beyond: A Seamless, Training-Free Approach for Scaling Neural Networks Using Common Interpolation Methods
by: Zishan, Md Abu Obaida, et al.
Published: (2026)
by: Zishan, Md Abu Obaida, et al.
Published: (2026)
Leveraging Synthetic Data for Enhancing Egocentric Hand-Object Interaction Detection
by: Leonardi, Rosario, et al.
Published: (2026)
by: Leonardi, Rosario, et al.
Published: (2026)
Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection
by: Marimont, Sergio Naval, et al.
Published: (2024)
by: Marimont, Sergio Naval, et al.
Published: (2024)
Do We Need All the Synthetic Data? Targeted Image Augmentation via Diffusion Models
by: Nguyen, Dang, et al.
Published: (2025)
by: Nguyen, Dang, et al.
Published: (2025)
Improving Diffusion-Based Image Synthesis with Context Prediction
by: Yang, Ling, et al.
Published: (2024)
by: Yang, Ling, et al.
Published: (2024)
Stable Diffusion Models are Secretly Good at Visual In-Context Learning
by: Oorloff, Trevine, et al.
Published: (2025)
by: Oorloff, Trevine, et al.
Published: (2025)
Similar Items
-
Semantically Guided Action Anticipation
by: Diko, Anxhelo, et al.
Published: (2024) -
Synthetic Data Augmentation for Multi-Task Chinese Porcelain Classification: A Stable Diffusion Approach
by: Ling, Ziyao, et al.
Published: (2026) -
Exploiting Multimodal Synthetic Data for Egocentric Human-Object Interaction Detection in an Industrial Scenario
by: Leonardi, Rosario, et al.
Published: (2023) -
A spatiotemporal style transfer algorithm for dynamic visual stimulus generation
by: Greco, Antonino, et al.
Published: (2024) -
Sensory robustness through top-down feedback and neural stochasticity in recurrent vision models
by: Greco, Antonino, et al.
Published: (2025)