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[CVPR 2023] Ref-NPR: Reference-Based Non-PhotoRealistic Radiance Fields
ArtFID: Quantitative Evaluation of Neural Style Transfer
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「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！
Official pytorch implementation of "XHand: Real-time Expressive Hand Avatar"
Awesome 3D Stylization - Advances in 3D Neural Stylization
source code for the ECCV18 paper A Style-Aware Content Loss for Real-time HD Style Transfer
The style transfer paper collection in International CV conference
MetaStyle: Three-Way Trade-Off Among Speed, Flexibility, and Quality in Neural Style Transfer
🧙🏻♂️A list of papers curated for you to dive into the Awesome Radiance Field-based 3D Editing.
Compressed 3D Gaussian Splatting for Accelerated Novel View Synthesis
Tiny 3DGStreamViewer
Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.
Optimization based style transfer
Code to reproduce the results from the paper "Controlling Perceptual Factors in Neural Style Transfer" (https://arxiv.org/abs/1611.07865).
Python3 / PyTorch implementation of the following paper: Fine-grained Semantics-aware Representation Enhancement for Self-supervisedMonocular Depth Estimation. ICCV 2021 (oral)
[CVPR 2024] Spacetime Gaussian Feature Splatting for Real-Time Dynamic View Synthesis
3D Gaussian Splatting for Real-Time Radiance Field Rendering - Detailed Windows Install & Usage Instructions
[CVPR 2023] StyleRF: Zero-shot 3D Style Transfer of Neural Radiance Fields
[SIGGRAPH Asia 2024] StyleGaussian: Instant 3D Style Transfer with Gaussian Splatting
Plenoxels: Radiance Fields without Neural Networks
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
A detailed formulae explanation on gaussian splatting