Go Little NeRF, You Are Free Now: This AI Approach Improves Neural Rend

Neural Radiance Field (NeRF) applications have made it feasible to generate high-fidelity 3D renders of real-world scenes.

NeRF uses a deep learning-based approach which maps 3D coordinates and viewing directions to radiance values.

However, it can overfit training views and struggle with novel view synthesis when only a few inputs are available.

FreeNeRF is a novel approach proposed to address the few-shot neural rendering problem.

It combines two regularization methods, frequency regularization and occlusion regularization, to propose a simple baseline that outperforms previous state-of-the-art methods on multiple datasets.

It adds almost no additional computation cost and is dependency-free and overhead-free.

#shorts #techshorts #technews #tech #technology #NeRF #occlusion regularization #training views

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