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Neural Radiance Fields

4 articles · Page 1 of 1

Jul 8, 2026 · Artificial Intelligence

How 4D Gaussian Splatting Works: From Canonical Gaussians to Deformation Fields

The article explains how 4D Gaussian Splatting avoids memory explosion in dynamic scene rendering by keeping a single set of canonical Gaussians, using a factor‑decomposed deformation field built from six 2D HexPlane grids, and training with carefully staged loss functions and learning‑rate schedules.

4D Gaussian SplattingComputer GraphicsHexPlane

0 likes · 10 min read

How 4D Gaussian Splatting Works: From Canonical Gaussians to Deformation Fields

AntTech

May 6, 2024 · Artificial Intelligence

AGAP: A Simple Technique for Editing 3D Neural Radiance Fields Explained in Plain Language

The article introduces AGAP, an open‑source method from Ant Research Institute that replaces complex 3D neural radiance field editing with a 2D appearance aggregation approach, enabling easy, loss‑less 3D image manipulation comparable to 2D Photoshop, and is showcased in a short explanatory video.

3D editingAGAPNeural Radiance Fields

0 likes · 3 min read

AGAP: A Simple Technique for Editing 3D Neural Radiance Fields Explained in Plain Language

AsiaInfo Technology: New Tech Exploration

Jan 12, 2024 · Artificial Intelligence

Exploring NeRF: From Theory to Real-World 3D Reconstruction Tools

This article introduces Neural Radiance Fields (NeRF) as a cutting‑edge AI technique for high‑quality 3D reconstruction, explains its core principles and advantages, outlines a step‑by‑step building workflow, reviews popular open‑source libraries such as Luma AI, NVIDIA Instant NeRF and NeRFStudio, and offers a forward‑looking summary of its potential and challenges.

3D reconstructionAINeRF

0 likes · 12 min read

Exploring NeRF: From Theory to Real-World 3D Reconstruction Tools

Code DAO

May 3, 2022 · Artificial Intelligence

How to Build Your Own NeRF Model in PyTorch – Step‑by‑Step Guide

This tutorial walks through the theory and implementation of Neural Radiance Fields (NeRF) in PyTorch, covering positional encoding, the MLP architecture, differentiable volume rendering, hierarchical sampling, training tricks, and references to the original research.

Hierarchical SamplingNeRFNeural Radiance Fields

0 likes · 23 min read

How to Build Your Own NeRF Model in PyTorch – Step‑by‑Step Guide