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

Lecture	Date	Topic	Suggested Reading	Assignments
WEEK 1
1	Wed 01/17/2024	Introduction		Assignment 0 Out
WEEK 2
2	Mon 01/22/2024	3D Representations
3	Wed 01/24/2024	3D Representations: Conversions		Assignment 0 Due Assignment 1 Out
3	Fri 01/26/2024	Pytorch3D Tutorial (NSH 3002, 4-5pm)	colab notebook
WEEK 3
4	Mon 01/29/2024	Image Formation
5	Wed 01/31/2024	Single-view 3D: History + Depth Prediction	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
WEEK 4
6	Mon 02/05/2024	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
7	Wed 02/07/2024	Single-view 3D: Objects (II) Projects: Selection and Timeline	Learning Category-Specific Mesh Reconstruction from Image Collections Accelerating 3D Deep Learning with PyTorch3D	Assignment 1 Due Assignment 2 Out
WEEK 5
8	Mon 02/12/2024	Single-view 3D: Humans, Hands, 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
9	Wed 02/14/2024	Volume Rendering	Volume Rendering Digest
WEEK 6
10	Mon 02/19/2024	Neural Radiance Fields	NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis Plenoxels: Radiance Fields without Neural Networks Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
11	Wed 02/21/2024	(Neural) SDF 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	Assignment 2 Due Assignment 3 Out
WEEK 7
12	Mon 02/26/2024	Neural Surface Rendering	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
13	Wed 02/28/2024	Differentiable Primitive (e.g. Gaussians, Triangles) Rendering	Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning 3D Gaussian Splatting for Real-Time Radiance Field Rendering	Project Proposals Due
WEEK 8 - Spring Break
WEEK 9
14	Mon 03/11/2024	Generalizable Neural Fields	DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation Learned Initializations for Optimizing Coordinate-Based Neural Representations pixelNerf: Neural Radiance Fields from One or Few Images
15	Wed 03/13/2024	Sparse View 3D and View Synthesis	ViewFormer: NeRF-free Neural Rendering from Few Images Using Transformers SparseFusion: Distilling View-conditioned Diffusion for 3D Reconstruction ReconFusion: 3D Reconstruction with Diffusion Priors	Assignment 3 Due Assignment 4 Out
WEEK 10
16	Mon 03/18/2024	Distilling 3D from 2D Diffusion	DreamFusion: Text-to-3D using 2D Diffusion Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation Zero-1-to-3: Zero-shot One Image to 3D Object
17	Wed 03/20/2024	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
WEEK 11
18	Mon 03/25/2024	Point Cloud Processing: Classification & 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
19	Wed 03/27/2024	Point Cloud Processing: Detection	Frustum PointNets for 3D Object Detection from RGB-D Data Deep Hough Voting for 3D Object Detection in Point Clouds	Assignment 5 Out
WEEK 12
20	Mon 04/01/2024	Guest Lecture by Jason Zhang (Learning-based Pose Estimation)		Assignment 4 Due
21	Wed 04/03/2024	Processing Meshes	SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation MeshCNN: A Network with an Edge
WEEK 13
22	Mon 04/08/2024	Modeling 3D in Time	Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes Nerfies: Deformable Neural Radiance Fields
23	Wed 04/10/2024	Guest Lecture by Neehar Peri (Outdoor 3D Detection)		Assignment 5 Due (Fri)
WEEK 14
24	Mon 04/15/2024	Conclusion
25	Wed 04/17/2024	Guest Lecture by Vincent Sitzmann (Neural Fields for Robotics)
WEEK 15
26	Mon 04/22/2024	Poster Presentations: I
27	Wed 04/24/2024	Poster Presentations: II
WEEK 16
	Wed 05/01/2024			Project Reports and Recorded Presentations Due