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Generative Adversarial Networks and Image Synthesis

Generative Adversarial Networks and Image Synthesis

140 faculty research Generative Adversarial Networks and Image Synthesis on GradNova.

Y
Aerodynamics and Acoustics in Jet Flows
Generative Adversarial Networks and Image Synthesis
Heat Transfer and Boiling Studies
Rock Mechanics and Modeling
+1
K
Karthik Duraisamy

Professor, Mechanical Engineering; Professor, Aerospace Engineering; Associate Director of Michigan Institute for Computational Discovery and Engineering (MICDE)

Department of Mechanical Engineering

University of Michigan

Adjoint-Based Methods
Aerodynamics
Computational Science and Engineering
High-Performance Computing
+11
J
Jeongho Kim

Professor of Civil and Environmental Engineering, Joint Appointment with Mechanical Engineering

School of Mechanical, Aerospace, and Manufacturing Engineering

University of Connecticut

Computational Fracture Mechanics
Finite Element Methods
Fuel Cells
Functionally Graded Materials
+5
R
Generative Adversarial Networks and Image Synthesis
Machine Learning in Materials Science
Model Reduction and Neural Networks
Stochastic Gradient Optimization Techniques
Y
Multi-Scale Structures for Thermal and Energy Applications, in Particular Fabrication, Characterization, and Integration of Structured Materials
Fluid Dynamics and Heat Transfer
Computer Graphics and Visualization Techniques
Generative Adversarial Networks and Image Synthesis
+2
E
Applied Physics
Control, Robotics and Dynamical Systems
Magnetic Confinement Fusion Research
Generative Adversarial Networks and Image Synthesis
+3
C
Control, Robotics and Dynamical Systems
Model Reduction and Neural Networks
Generative Adversarial Networks and Image Synthesis
Human Pose and Action Recognition
+2
N
Naichen Shi

Assistant Professor of Industrial Engineering and Management Sciences and Mechanical Engineering

Department of Mechanical Engineering

Northwestern University

Advanced Manufacturing
AI and Design
Computational Engineering
Stochastic Gradient Optimization Techniques
+4
M
Advanced Malware Detection Techniques
Advanced Steganography and Watermarking Techniques
Digital and Cyber Forensics
Digital Media Forensic Detection
+1
V
Vardan Papyan

Assistant Professor Department of Mathematics

Computer Science

University of Toronto

Data Mining
Deep Learning
Machine Learning
Signal Processing
+5
C
Chandra Gummaluru

Assistant Professor, Teaching Stream

Computer Science

University of Toronto

Advanced Image Processing Techniques
Advanced Vision and Imaging
Generative Adversarial Networks and Image Synthesis
Robotics and Sensor-Based Localization
+1
C
Bayesian Inference
Deep Learning
Machine Learning
Optimization
+5
D
3D Reconstruction
Computational Imaging
Computer Graphics
Computer Vision
+8
R
Causal Inference
Computational Medicine
Deep Generative Modeling
Machine Learning
+8
D
Computational Biology
Computer Vision
Cryo-Em Reconstruction of Macromolecules
Generative Models
+9
S
Computer Vision
Machine Learning
Generative Adversarial Networks and Image Synthesis
Advanced Neural Network Applications
+3
R
Advanced Neural Network Applications
Domain Adaptation and Few-Shot Learning
Generative Adversarial Networks and Image Synthesis
Parallel Computing and Optimization Techniques
+1
U
The Philosophical and Technical Differences Between AI-Generated and Human-Generated Content
Generative Adversarial Networks and Image Synthesis
Advanced Image and Video Retrieval Techniques
Domain Adaptation and Few-Shot Learning
+2
B
Advanced Data Compression Techniques
AI in Cancer Detection
Generative Adversarial Networks and Image Synthesis
Image and Signal Denoising Methods
+1
X
3D Shape Modeling and Analysis
Advanced Image Processing Techniques
Computer Graphics and Visualization Techniques
Generative Adversarial Networks and Image Synthesis
+1
A
Biometric Identification and Security
Face and Expression Recognition
Face Recognition and Analysis
Face Recognition and Perception
+1
K
AI Ethics & Compliance
AI Frontier Models
Ai/ml
Biometrics
+12
Q
Qing Qu

Assistant Professor, EECS – Electrical and Computer Engineering

Department of Electrical and Computer Engineering

University of Michigan

Computational Imaging
High Dimensional Data Analysis
Machine Learning
Numerical Optimization
+6
J
Jeong Joon Park

Assistant Professor, EECS – Computer Science and Engineering

Computer Science and Engineering

University of Michigan

3D Reconstruction and Generative Models
Applications of Vision and Graphics to Robotics, Medical Imaging, and Scientific Problems
Computer Graphics
Computer Vision
+5
2

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