# Date Topic Readings Optional Readings Presentation
1 2023-08-28 Introduction
2 2023-08-30 Foundation for Generative Models
3 2023-09-06 Transformers
4 2023-09-11 Language Models
5 2023-09-13 Text and Image
6 2023-09-18 Segmentation
7 2023-09-20 Image Generative Models
8 2023-09-25 Diffusion Models
9 2023-09-27 Diffusion Models Manipulation
10 2023-10-02 Neural Radiance Fields
11 2023-10-04 3D Reconstruction
12 2023-10-09 Implicit Representations
2023-10-09 Project Proposal Due
13 2023-10-11 3D Generative Models
2023-10-16
14 2023-10-18 3D Scene Generation
15 2023-10-23 SLAM
16 2023-10-25 Dynamic Reconstruction
17 2023-10-30 Motion Generation
18 2023-11-01 Correspondences
19 2023-11-06 Learning from Videos
20 2023-11-08 Project Mid-term Presentation
21 2023-11-13 Internal Learning
22 2023-11-15 Category and Pose
23 2023-11-20 Parts and Wholes
2023-11-22 Thanksgiving
24 2023-11-27 Fine-grained Recognition
25 2023-11-29 Few-shot Learning
26 2023-12-04 Continual Learning
27 2023-12-06 Representation Learning
2023-12-07 Project Poster Presentation