Neural Radiance Fields (NeRF) represent scenes as continuous 5D functions that output the radiance emitted in each direction (θ, φ) at each point (x, y, z) in space. This implementation includes:
Custom NeRF model with positional encoding Volume rendering pipeline Training on synthetic datasets Inference with novel view synthesis
submitted by /u/Amazing_Life_221 to r/learnmachinelearning
[link] [comments]
Laisser un commentaire