Nov 30, 2023 · In this paper, we propose an anisotropic neural representation learning method that utilizes learnable view-dependent features to improve scene representation ...

Mar 11, 2024 · To achieve robust scene reconstruction without anisotropy over-fitting, we regularize the energy of the anisotropic features during training.

This paper model the volumetric function as spherical harmonic (SH)-guided anisotropic features, parameterized by multilayer perceptrons, ...

Dec 3, 2023 · Anisotropic Neural Representation Learning for High-Quality Neural Rendering Yifan Wang, Jun Xu, Yuan Zeng, Yi Gong tl;dr: spherical ...

Neural radiance fields (NeRFs) have achieved impressive view synthesis results by learning an implicit volumetric representation from multi-view images.

The high-quality neural rendering results using our anisotropic random Fourier features mapping scheme for both the surface light field rendering and image- ...

Sep 12, 2024 · In this work, we present AniSDF, a novel approach that learns fused-granularity neural surfaces with physics-based encoding for high-fidelity 3D reconstruction.

Jun 28, 2022 · They provide a continuous, compact, and parallelable representation by modeling the plenoptic function as multilayer perceptrons. (MLPs).

Oct 22, 2024 · They provide a continuous, compact, and parallelable representation by modeling the plenoptic function as multilayer perceptrons (MLPs). However ...

Nov 30, 2023 · Our method can be easily applied to existing accelerated NeRF methods and significantly improves rendering quality (reducing error rates by 20- ...