This schedule is preliminary and subject to change as the term evolves.

Lecture	Date	Topic	Suggested Reading	Assignments
WEEK 1
1	Tue 08/25/2026	Introduction		Assignment 0 Out
2	Thu 08/27/2026	3D Representations I
WEEK 2
3	Tue 09/01/2026	3D Representations II		Assignment 0 Due Assignment 1 Out
4	Thu 09/03/2026	Image Formation
WEEK 3
5	Tue 09/08/2026	Single-view 3D: Depth	Depth Map Prediction from a Single Image using a Multi-Scale Deep Network Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
6	Thu 09/10/2026	Single-view 3D: Objects	Learning a predictable and generative vector representation for objects Occupancy Networks: Learning 3D Reconstruction in Function Space AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation
WEEK 4
7	Tue 09/15/2026	Single-view 3D: Scenes Projects: Selection and Timeline		Assignment 1 Due Assignment 2 Out
8	Thu 09/17/2026	Single-view 3D: Humans and Animals	SMPL: A Skinned Multi-Person Linear Model Embodied Hands: Modeling and Capturing Hands and Bodies Together End-to-end Recovery of Human Shape and Pose DOVE: Learning Deformable 3D Objects by Watching Videos
WEEK 5
9	Tue 09/22/2026	Volume Rendering	Volume Rendering Digest
10	Thu 09/24/2026	Neural Radiance Fields	NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
WEEK 6
11	Tue 09/29/2026	Neural Implicit Rendering	Multiview Neural Surface Reconstruction by Disentangling Geometry and Appearance Volume Rendering of Neural Implicit Surfaces NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction Objects as volumes: A stochastic geometry view of opaque solids	Assignment 2 Due Assignment 3 Out
12	Thu 10/01/2026	Differentiable Primitive Rendering (Meshes, Gaussians)	Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning 3D Gaussian Splatting for Real-Time Radiance Field Rendering
WEEK 7
13	Tue 10/06/2026	Relightable 3D Representations	NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wild PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Material Editing and Relighting
14	Thu 10/08/2026	Dynamic 3D Representations	Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes Nerfies: Deformable Neural Radiance Fields	Project Proposals Due
WEEK 8 - Fall Break
WEEK 9
15	Tue 10/20/2026	Multi-view Transformers: View Synthesis	pixelNeRF: Neural Radiance Fields from One or Few Images Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias TokenGS: Decoupling 3D Gaussian Prediction from Pixels with Learnable Tokens	Assignment 3 Due Assignment 4 Out
16	Thu 10/22/2026	Multi-view Transformers: Reconstruction	VGGT: Visual Geometry Grounded Transformer Depth Anything 3: Recovering the Visual Space from Any Views π³: Permutation-Equivariant Visual Geometry Learning
WEEK 10
17	Tue 10/27/2026	Generative 3D Modeling	Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generation pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis
18	Thu 10/29/2026	Single-view 3D: A generative approach	Trellis: Structured 3D Latents for Scalable and Versatile 3D Generation SAM3D: 3Dfy Anything in Images
WEEK 11
	Tue 11/03/2026	No Class (Democracy Day)		Assignment 4 Due Assignment 5 Out
19	Thu 11/05/2026	Processing Point Clouds I: Classification and Segmentation	PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation Point Transformer Vector Neurons: A General Framework for SO(3)-Equivariant Networks 4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
WEEK 12
20	Tue 11/10/2026	Processing Point Clouds II: Detection	Frustum PointNets for 3D Object Detection from RGB-D Data Deep Hough Voting for 3D Object Detection in Point Clouds PointPillars: Fast Encoders for Object Detection from Point Clouds
21	Thu 11/12/2026	Processing Meshes	SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation MeshCNN: A Network with an Edge
WEEK 13
22	Tue 11/17/2026	Guest Lecture I		Assignment 5 Due
23	Thu 11/19/2026	Guest Lecture II
WEEK 14
24	Tue 11/24/2026	Conclusion
	Thu 11/26/2026	Thanksgiving
WEEK 15
25	Tue 12/01/2026	Poster Presentations: I
26	Thu 12/03/2026	Poster Presentations: II
WEEK 16
	Wed 12/09/2026			Project Reports Due