Ray Tracing

Radiosity

Photon Mapping

Rasterization

Ray tracing is a forward-facing algorithm, while radiosity is a backward-facing algorithm.

Ray tracing is a stochastic algorithm, while radiosity is a deterministic algorithm.

Ray tracing is a local illumination method, while radiosity is a global illumination method.

Ray tracing is a more computationally expensive algorithm than radiosity.

Photon mapping is a more accurate algorithm than ray tracing.

Photon mapping is a faster algorithm than ray tracing.

Photon mapping is a more flexible algorithm than ray tracing.

Photon mapping is a more robust algorithm than ray tracing.

Direct illumination

Indirect illumination

Caustics

Shadows

The high computational cost of global illumination methods.

The difficulty in modeling the complex interactions of light in a scene.

The need for specialized hardware to accelerate global illumination calculations.

All of the above.

Photon mapping

Irradiance caching

Bidirectional path tracing

Rasterization

Bidirectional path tracing is a more accurate algorithm than other global illumination methods.

Bidirectional path tracing is a faster algorithm than other global illumination methods.

Bidirectional path tracing is a more flexible algorithm than other global illumination methods.

Bidirectional path tracing is a more robust algorithm than other global illumination methods.

Architectural visualization

Product design

Medical imaging

Video games

Global illumination methods will become more accurate and faster.

Global illumination methods will become more flexible and robust.

Global illumination methods will become more widely used in a variety of applications.

All of the above.

Denoising filters

Adaptive sampling

Importance sampling

All of the above.

Adaptive sampling is a more accurate noise reduction technique than other techniques.

Adaptive sampling is a faster noise reduction technique than other techniques.

Adaptive sampling is a more flexible noise reduction technique than other techniques.

Adaptive sampling is a more robust noise reduction technique than other techniques.

Pixel-based adaptive sampling

Object-based adaptive sampling

Material-based adaptive sampling

Light-based adaptive sampling

Importance sampling is a more accurate noise reduction technique than other techniques.

Importance sampling is a faster noise reduction technique than other techniques.

Importance sampling is a more flexible noise reduction technique than other techniques.

Importance sampling is a more robust noise reduction technique than other techniques.

Stratified sampling

Jittered sampling

Poisson disk sampling

Metropolis-Hastings sampling