Computational Creativity
ECSE 4966/6966, Rensselaer Polytechnic Institute, Spring 2025
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Introduction and Background
- Tue Jan 7
- Tue Jan 7
- Fri Jan 10
- Tue Jan 14
- Tue Jan 14
- Fri Jan 17
- Fri Jan 17
Due HW 0 due
Variational autoencoders
- Tue Jan 21
- Fri Jan 24
Generative Adversarial Networks (GANs)
- Tue Jan 28
- Fri Jan 31
- Fri Jan 31
DUE HW 1 due
- Tue Feb 4
LEC 9 Image-to-Image GANs (e.g., CycleGAN, pix2pix); GAN artists
- Tue Feb 4
Various generative models
- Fri Feb 7
- Tue Feb 11
LEC 11 Denoising diffusion models
- Fri Feb 14
LEC 12 Normalizing flow models
- Tue Feb 18
No class Monday schedule
- Fri Feb 21
- Fri Feb 21
DUE HW 2 due
Language models
- Tue Feb 25
- Tue Feb 25
- Fri Feb 28
LEC 14 Attention and transformers
- Tue Mar 11
- Fri Mar 14
LEC 16 CLIP and its applications
Diffusion models for image generation
- Tue Mar 18
LEC 17 DALLE-2 and Stable Diffusion
- Tue Mar 18
DUE HW 3 due
- Wed Mar 19
- Fri Mar 21
LEC 18 Diffusion developments (inpainting, Dreambooth, ControlNet)
- Mon Mar 24
Beyond text and images
- Fri Mar 28
LEC 19 Generative models for music
- Fri Mar 28
DUE HW 4 due
- Fri Mar 28
- Tue Apr 1
LEC 20 3D representations and neural rendering fields (NeRFs)
- Fri Apr 4
LEC 21 Generative models for 3D
- Tue Apr 8
LEC 22 Generative models for X (vector graphics, layouts, animation)
- Tue Apr 8
DUE HW 5 due
- Fri Apr 11