3D Gaussian Splatting (3DGS) creates a radiance field consisting of 3D Gaussians to represent a scene. With sparse training views, 3DGS easily suffers from overfitting, negatively impacting rendering. This paper introduces a new co-regularization perspective for improving sparse-view 3DGS. When ...
我选择3DGS。使用灵光L2Pro提升电力线场景重建质量 海德斯路HDSL 832 0 00:44 【深度复现】LHM: Large Animatable Human Reconstruction Model for Single Image to 3D in YeeZ93 1174 0 01:45 [3DGS进展] 阿里通义Lab开源LHM代码和模型,从单张图像生成可驱动的3D人体模型,并开放在线演示,模型和数据...
3.4. Training Sparse View 3D Language Fields 在以往针对密集输入的3D语言领域表示方法中,训练语义特征时会放弃RGB监督。然而,在稀疏输入设置下,如果仅仅依赖语义损失来训练高斯模型,它们往往会变得过分拉长或过大,无法准确捕捉场景的正确几何分布。这完全是因为语义图提供的信息非常有限且区域化,几乎每个区域内部没有额...
快速建立粗略3D模型：使用DUSt3R模型处理成对图像，产生每个像素对应的3D点图和置信度图，形成初步的全局一致3D表示。粗略几何初始化：将局部点图转换到全局坐标系，包括计算平均焦距并构建连接图，实现点图对齐。快速3DGS优化过程：改进3D高斯溅射模型，通过减少优化步骤和计算量，在极短时间内实现高质量大...
3DGS-based scenes. By ensuring consistent SAM segmentations through video tracking and using low-dimensional indexing for high-dimensional CLIP features, SLGaussian efficiently embeds language information in 3D space, offering a robust solution for accurate 3D scene understanding under sparse view ...
Novel view synthesis via Neural Radiance Fields (NeRFs) or 3D Gaussian Splatting (3DGS) typically necessitates dense observations with hundreds of input images to circumvent artifacts. We introduce Deceptive-NeRF/3DGS to enhance sparse-view reconstruction with only a limited set of input images, ...
SparseGS: Real-Time 360° Sparse View Synthesis using Gaussian Splatting Environment Setups Conda environment: conda env create --file environment.yml conda activate SparseGS We suggest usingCUDA 12but CUDA 11 should work. You may need to change the cudatoolkit and pytorch version in the .yml...
SparseGS: Real-Time 360° Sparse View Synthesis using Gaussian Splatting Environment Setups Conda environment: conda env create --file environment.yml conda activate SparseGS We suggest using CUDA 12 but CUDA 11 should work. You may need to change the cudatoolkit and pytorch version in the ....
InstantSplat: Sparse-view SfM-free Gaussian Splatting in Seconds This repository is the official implementation of InstantSplat, an sparse-view, SfM-free framework for large-scale scene reconstruction method using Gaussian Splatting. InstantSplat supports 3D-GS, 2D-GS, and Mip-Splatting. Table...
新视图合成方法的初始步骤是快速建立场景的粗略3D模型。首先，使用DUSt3R模型处理成对图像，产生每个像素对应的3D点图和置信度图，形成初步的全局一致3D表示。接着，通过粗略几何初始化过程，将局部点图转换到全局坐标系，包括计算平均焦距并构建连接图，实现点图对齐。快速3D-GS优化过程改进3D高斯溅射模型...