Tags

Computer Vision

6 entries

2026

Implicit Neural Representations

Part III: faster radiance fields through hash encodings, tensor factorization, and explicit Gaussian primitives.

  • Computer Vision
  • Neural Fields
  • Implicit Neural Representations
  • NeRF
Open project

2026

Implicit Neural Representations

Part II: a neural radiance field turns calibrated images into a continuous scene that can render new views.

  • Computer Vision
  • Neural Fields
  • Implicit Neural Representations
  • NeRF
Open project

2026

Implicit Neural Representations

Part I: represent an image, shape, or scene as a continuous function that can be queried at any coordinate.

  • Computer Vision
  • Neural Fields
  • Implicit Neural Representations
  • 3D Vision
Open project

2026

Multi-View Geometry

Part III turns the epipolar constraint into an algorithm: estimating a fundamental matrix from noisy point matches.

  • Computer Vision
  • Multi-View Geometry
  • Epipolar Geometry
  • Fundamental Matrix
Open project

2026

Multi-View Geometry

Part II explains why a point in one image can correspond only to an epipolar line in another, and how the fundamental matrix expresses that constraint.

  • Computer Vision
  • Multi-View Geometry
  • Epipolar Geometry
  • Fundamental Matrix
Open project

2026

Multi-View Geometry

Part I builds the camera model from an intuitive idea of projection to the geometry that maps a 3D world point to a 2D pixel.

  • Computer Vision
  • Multi-View Geometry
  • Camera Models
  • Projective Geometry
Open project