研究人员正在探索将2D和3D高斯泼溅技术应用于各种计算机视觉任务，包括图像去雾和低光增强。Dehaze-GaussianImage和Fi-Gaussian等新方法利用高斯图元进行更高效、物理上可解释的图像处理，旨在提高重建保真度并减少伪影。此外，TurboGS和Local-GS等加速3D高斯泼溅的进展专注于优化实时应用的渲染性能和GPU利用率。 AI
影响 高斯泼溅的进步正在提高图像去雾和渲染等计算机视觉任务的效率和保真度。
排序理由 arXiv上发表了多篇研究论文，介绍了与高斯泼溅技术相关的新方法和调查。
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arXiv:2606.16163v1 Announce Type: new Abstract: Existing single image dehazing methods are often constrained by computational redundancy in pixel-level optimization and the lack of physical interpretability in implicit neural networks. These limitations hinder the balance between…
arXiv:2606.15924v1 Announce Type: new Abstract: Consumer-level applications require fast optimization of 3D Gaussian Splatting (3DGS) with high-fidelity novel view rendering. However, existing 3DGS acceleration approaches still incur substantial computation on redundant pixels wh…
arXiv:2606.16159v1 Announce Type: new Abstract: Low-light image enhancement aims to recover clear images from low-illumination observations and is crucial for high-level downstream vision tasks. However, existing methods frequently encounter color distortion and structural artifa…
arXiv:2508.09977v5 Announce Type: replace Abstract: In the context of novel view synthesis, 3D Gaussian Splatting (3DGS) has recently emerged as an efficient and competitive counterpart to Neural Radiance Field (NeRF), enabling high-fidelity photorealistic rendering in real time.…
arXiv:2606.16168v1 Announce Type: new Abstract: Single image dehazing continues to be hindered by the loss of high-frequency details and the difficulty of accurate physical scattering modeling. To address these issues, we propose Fi-Gaussian, a frequency-aware implicit Gaussian s…
arXiv:2606.16566v1 Announce Type: new Abstract: 3D Gaussian Splatting (3DGS) has significantly advanced real-time novel view synthesis by representing scenes as dense collections of anisotropic 3D Gaussian primitives. However, the irregular spatial distribution of Gaussians often…
3D Gaussian Splatting (3DGS) has significantly advanced real-time novel view synthesis by representing scenes as dense collections of anisotropic 3D Gaussian primitives. However, the irregular spatial distribution of Gaussians often leads to poor GPU utilization, as warp divergen…