CS 5672

Frontiers of Computer Vision

Course Description

Course information provided by the 2025-2026 Catalog.

This course will cover contemporary advances in computer vision. We will cover quick background on classical computer vision before delving into neural networks, modern methods for 3D reconstruction such as neural radiance fields, modern recognition systems based on vision-language models and multimodal language models, and recent trends in synthesis or image generation.

Last 3 terms offered (None)

Learning Outcomes REF-FA25

• Describe the classical pipelines for 3D reconstruction.
• Implement simple versions of neural radiance fields, and explain modern neural radiance field papers.
• Describe the network architectures of recognition systems, and analyze the capabilities of modern multimodal language models.
• Derive the mathematical formulation of GANs, VAEs, diffusion models and conditional image generation.

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