Image Synthesis Courses and Certifications

Generative Models for Image Synthesis

Explore cutting-edge generative models for image synthesis, translation, and defect detection. Learn about GANs, unsupervised techniques, and interactive applications in this advanced AI seminar.

• YouTube
• 1 hour 7 minutes
• On-Demand
• Free Video

High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs

Explore high-resolution image synthesis and semantic manipulation using conditional GANs, covering advanced techniques like coarse-to-fine generation and multi-scale discriminators for improved photorealism.

• YouTube
• 34 minutes
• On-Demand
• Free Video

GANs in Medical Image Synthesis, Translation, and Augmentation - Jason Jeong

Explore GANs in medical imaging for synthetic data generation, addressing scarcity and imbalance issues. Learn about applications in CT, MRI, and disease detection, with insights on challenges and future directions.

• YouTube
• 56 minutes
• On-Demand
• Free Video

Deep Generative Models - Lecture 10: GANs

Explore Generative Adversarial Networks (GANs) in deep learning, covering their architecture, training process, and applications in image generation and beyond.

• YouTube
• 1 hour 28 minutes
• On-Demand
• Free Video

Deep Generative Models - Lecture 8: GANs

Explore Generative Adversarial Networks (GANs) in deep learning, covering their architecture, training process, and applications in image generation and beyond.

• YouTube
• 1 hour 23 minutes
• On-Demand
• Free Video

Packt

Advanced Generative Adversarial Networks (GANs)

Master AI-driven image synthesis with GANs. Learn architectures, implement models, and optimize performance using popular datasets. Apply knowledge to generate realistic images for practical applications.

• Coursera
• 12 hours 31 minutes
• On-Demand
• Free Online Course (Audit)

Extreme View Synthesis: Novel Techniques and Challenges

Explore advanced techniques for synthesizing novel views from limited input images, covering multiplane images, patch matching, and depth probability estimation.

• YouTube
• 28 minutes
• On-Demand
• Free Video

AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks

Explore fine-grained text-to-image generation using attentional GANs, covering architecture, experiments, and novel scenarios in this technical deep dive.

• YouTube
• 46 minutes
• On-Demand
• Free Video

Exploring Relationships Between Ground and Aerial Views by Synthesis and Matching

Explore relationships between ground and aerial views through synthesis and matching techniques, focusing on architecture, evaluation methods, and practical applications in image retrieval and GPS data.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Video

Discover AI

Stable Diffusion XL Theory and Code with Shape-Shifting ControlNet

Dive into the advanced mechanics of SDXL and ControlNet, exploring text-to-image diffusion models and shape-shifting techniques for synthetic image manipulation.

• YouTube
• 41 minutes
• On-Demand
• Free Video

USC Information Sciences Institute

Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks

Explore a unified neural model for diverse AI tasks, including computer vision, image synthesis, and NLP. Learn about its innovative approach to homogenizing inputs and outputs across multiple domains.

• YouTube
• 49 minutes
• On-Demand
• Free Video

Computational Genomics Summer Institute CGSI

Synthetic Data in Medical Imaging: Are We There Yet?

Explore synthetic data's potential and challenges in medical imaging, focusing on recent advancements and future prospects for improved healthcare applications.

• YouTube
• 33 minutes
• On-Demand
• Free Video

Image Generation with Imagen

Imagen is Google’s text-to-image diffusion model that generates images with never before seen levels of photorealism. This course will teach you the key features of Imagen and how to use it to generate high-quality images.

• Pluralsight
• 16 minutes
• On-Demand
• Free Trial Available

USENIX

Differentially Private Diffusion Probabilistic Models for Image Synthesis

Explore how dp-promise leverages diffusion model noise to achieve differential privacy in image synthesis while maintaining high image quality and protecting sensitive training data.

• YouTube
• 11 minutes
• On-Demand
• Free Video

Yannic Kilcher

Diffusion Models Beat GANs on Image Synthesis - Machine Learning Research Paper Explained

Explore how Diffusion Models outperform GANs in image synthesis, with improved architecture, classifier guidance, and better sample quality while maintaining distribution coverage.

• YouTube
• 55 minutes
• On-Demand
• Free Video