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Found 4 papers, 1 papers with code
Volumetric Surfaces: Representing Fuzzy Geometries with Layered Meshes
In contrast to volume and splatting-based methods, our approach enables real-time rendering on low-power laptops and smartphones.
LaRa: Efficient Large-Baseline Radiance Fields
Radiance field methods have achieved photorealistic novel view synthesis and geometry reconstruction.
Fluid Dynamics Network: Topology-Agnostic 4D Reconstruction via Fluid Dynamics Priors
Representing 3D surfaces as level sets of continuous functions over $\mathbb{R}^3$ is the common denominator of neural implicit representations, which recently enabled remarkable progress in geometric deep learning and computer vision tasks.
KiloNeuS: A Versatile Neural Implicit Surface Representation for Real-Time Rendering
NeRF-based techniques fit wide and deep multi-layer perceptrons (MLPs) to a continuous radiance field that can be rendered from any unseen viewpoint.
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