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

Lecture	Date	Topic	Suggested Reading	Assignments
WEEK 1
1	Mon 01/13/2025	Introduction (Ioannis, Shubham)		Assignment 0 Out
2	Wed 01/15/2025	3D Representations I (Ioannis)
WEEK 2
3	Wed 01/22/2025	3D Representations II (Shubham)		Assignment 0 Due Assignment 1 Out
	Fri 01/24/2025	Pytorch3D Tutorial (NSH 3002, 4-5pm)	colab notebook
WEEK 3
4	Mon 01/27/2025	Image Formation (Ioannis)
5	Wed 01/29/2025	Single-view 3D: History (Ioannis)	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 02/03/2025	Single-view 3D: Depth & Objects (Shubham)	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 02/05/2025	Single-view 3D: Objects II (Shubham) Projects: Selection and Timeline (Shubham)	Learning Category-Specific Mesh Reconstruction from Image Collections Accelerating 3D Deep Learning with PyTorch3D	Assignment 1 Due Assignment 2 Out
WEEK 5
8	Mon 02/10/2025	Single-view 3D: Humans, Hands, and Animals (Shubham)	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 02/12/2025	Volume Rendering (Ioannis)	Volume Rendering Digest
WEEK 6
10	Mon 02/17/2025	Neural Radiance Fields (Ioannis)	NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
11	Wed 02/19/2025	Neural Radiance Fields (continued) (Ioannis)	Plenoxels: Radiance Fields without Neural Networks ReLU Fields: The Little Non-linearity That Could Instant Neural Graphics Primitives with a Multiresolution Hash Encoding	Assignment 2 Due Assignment 3 Out
WEEK 7
12	Mon 02/24/2025	(Neural) Implicit Rendering (Ioannis)	Multiview Neural Surface Reconstruction by Disentangling Geometry and Appearance
13	Wed 02/26/2025	(Neural) Implicit Rendering (continued) (Ioannis)	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	Project Proposals Due
WEEK 8 - Spring Break
WEEK 9
14	Mon 03/10/2025	(Neural) Surface Rendering: Appearance (Ioannis)	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
15	Wed 03/12/2025	Differentiable Primitive (e.g. Gaussians, Triangles) Rendering (Ioannis)	Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning 3D Gaussian Splatting for Real-Time Radiance Field Rendering	Assignment 3 Due Assignment 4 Out
WEEK 10
16	Mon 03/17/2025	Sparse View 3D and View Synthesis (Shubham)	ViewFormer: NeRF-free Neural Rendering from Few Images Using Transformers SparseFusion: Distilling View-conditioned Diffusion for 3D Reconstruction ReconFusion: 3D Reconstruction with Diffusion Priors
17	Wed 03/19/2025	Distilling 3D from 2D Diffusion (Shubham)	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
WEEK 11
18	Mon 03/24/2025	Generative 3D Modeling (Shubham)	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
19	Wed 03/26/2025	Point Cloud Processing: Classification & Segmentation (Shubham)	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	Assignment 4 Due Assignment 5 Out
WEEK 12
20	Mon 03/31/2025	Point Cloud Processing: Detection (Shubham)	Frustum PointNets for 3D Object Detection from RGB-D Data Deep Hough Voting for 3D Object Detection in Point Clouds
21	Wed 04/02/2025	Modeling 3D in Time (Shubham)	Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes Nerfies: Deformable Neural Radiance Fields
WEEK 13
22	Mon 04/07/2025	Generalizable Neural Fields (Ioannis)	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 MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereo
23	Wed 04/09/2025	Guest Lecture by David Held: 3D + Robotics		Assignment 5 Due
WEEK 14
24	Mon 04/14/2025	Guest Lecture by Neehar Peri: 3D Detection
25	Wed 04/16/2025	Conclusion (Ioannis, Shubham)
WEEK 15
26	Mon 04/21/2025	Poster Presentations: I
27	Wed 04/23/2025	Poster Presentations: II
WEEK 16
	Wed 04/30/2025			Project Reports Due