Neural Radiance Caching
2 papers with code • 0 benchmarks • 0 datasets
Involves the task of predicting photorealistic pixel colors from feature buffers.
Image source: Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
Benchmarks
These leaderboards are used to track progress in Neural Radiance Caching
Most implemented papers
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
Neural graphics primitives, parameterized by fully connected neural networks, can be costly to train and evaluate.
Real-time Neural Radiance Caching for Path Tracing
Since pretraining neural networks to handle novel, dynamic scenes is a formidable generalization challenge, we do away with pretraining and instead achieve generalization via adaptation, i. e. we opt for training the radiance cache while rendering.
