从几何先验到照片级逼真，这篇Eurographics 2026 STAR综述系统梳理了构建数字人的全链路核心技术。
arXiv:2607.04341v1 Announce Type: cross Abstract: This state-of-the-art report provides an overview of controllable 3D human avatar creation. We descr…
原生3D空间理解与生成模型，输出可编辑的3DGS格式，直接导入Unity/Unreal引擎，将AI转化为游戏开发生产力。
能够直接导入Unity、Unreal Engine等主流引擎进行交互开发
多视角捕捉面部毛发从稀疏到浓密，无需先验知识即可实现毛流级精细重建
arXiv:2606.08041v1 Announce Type: cross Abstract: Facial hair is a defining trait of personal identity, yet remains a critical bottleneck for digital …
巧妙融合NeRF高质量渲染与3DGS高速渲染，利用互补优势提升新视角合成性能。
arXiv:2606.09034v1 Announce Type: new Abstract: Neural radiance field (NeRF) and 3D Gaussian splatting (3DGS) are two mainstream approaches for novel …
用光追踪技术高效学习复杂光源，突破计算机图形渲染瓶颈。
arXiv:2606.04319v1 Announce Type: cross Abstract: We propose a neural formulation for estimating the appearance of complex luminaires. We focus on cha…
仅用朴素算法实现的逼真火焰特效演示，视觉效果惊艳且代码开源可学习。
Source code: https://github.com/Leftium/fx/blob/main/src/routes/fire-plas... I made this naive fire effect as realistic as possible; arguably more rea…
最新综述系统梳理神经3D网格纹理化技术进展，涵盖生成式方法、优化策略与评估基准，图形学研究者必读。
arXiv:2606.00137v1 Announce Type: new Abstract: Texturing 3D meshes plays a vital role in determining the visual realism of digital objects and scenes…
一篇关于神经次表面散射采集与表示的前沿论文，可帮助3D图形从业者理解如何用神经网络高效建模半透明材质
arXiv:2606.02292v1 Announce Type: new Abstract: We present a method to acquire and estimate the sub-surface scattering properties of light transport a…
利用主动RGB-NIR成像实现环境鲁棒的逆渲染，为计算机视觉与图形学领域提供新方案。
arXiv:2605.30250v1 Announce Type: new Abstract: Inverse rendering aims to reconstruct geometry and reflectance of objects from images. Despite recent …
提出基于有向边的任意表面生成方法，无需特定拓扑约束，实现高质量3D曲面重建。
arXiv:2605.26149v1 Announce Type: cross Abstract: Open surface components prevail in real industrial 3D content and support rendering, physical simula…
视频人体重打光迎来新突破，时间一致性让全身光影流转更加自然
arXiv:2605.21766v1 Announce Type: new Abstract: Being able to relight human performance is a fundamental task for post production and content creation…
OpenAI模型推翻离散几何核心猜想，AI在科学发现中展现惊人潜力
OpenAI Model Disproves Central Conjecture in Discrete Geometry Meta Description: An OpenAI model has disproved a central conjecture in discrete geomet…
用生成式网格遍历技术自动切割接缝，MeshTailor让3D模型处理更智能、更高效。
arXiv:2603.27309v2 Announce Type: replace-cross Abstract: We present MeshTailor, the first mesh-native generative framework for synthesizing edge-alig…
一种通过时空注意力链实现高速4D网格生成的新方法，大幅提升动态3D场景建模效率。
arXiv:2605.19786v1 Announce Type: new Abstract: 4D mesh generation has recently emerged as a powerful paradigm for recovering dynamic 3D structure fro…
用主动集方法解决3DGS透明物体渲染难题，显著提升非兰伯特材质的逼真度
arXiv:2605.13855v1 Announce Type: cross Abstract: 3D Gaussian Splatting (3DGS) has received tremendous popularity over the past few years due to its p…
用神经网络实时去除头发渲染中的噪点，大幅提升动画与游戏画质。
arXiv:2605.17557v1 Announce Type: cross Abstract: We propose a lightweight real-time method for reconstructing strand-based hair G-Buffers from severe…