MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View ImagesMVSplat：从稀疏多视图图像高效生成 3D 高斯 splatting 论文链接 https://volctracer.com/w/M6FaLpwh 论文作者 Dony Chen, Chuanxia Zheng, et al.内容简介 本文介绍了一种名为 MVSplat 的高效模型，该模型能够从稀疏多视图图像中预测干净...
On the large-scale RealEstate10K and ACID benchmarks, MVSplat achieves state-of-the-art performance with the fastest feed-forward inference speed (22fps). More impressively, compared to the latest state-of-the-art method pixelSplat, MVSplat uses \\(10imes \\) fewer parameters and infers ...
git clone https://github.com/donydchen/mvsplat.gitcdmvsplat conda create -n mvsplat python=3.10 conda activate mvsplat pip install torch==2.1.2 torchvision==0.16.2 torchaudio==2.1.2 --index-url https://download.pytorch.org/whl/cu118 pip install -r requirements.txt ...
We introduce MVSplat,an efficient model that, given sparse multi-view images as input, predicts clean feed-forward 3D Gaussians. To accurately localize the Gaussian centers, we build a cost volume representation via plane sweeping, where the cross-view feature similarities stored in the cost volum...
MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images论文下载 论文作者 Dony Chen, Chuanxia Zheng, et al. 内容简介 本文介绍了一种名为 MVSplat 的高效模型,该模型能够从稀疏多视图图像中预测干净的前馈 3D 高斯分布。通过平面扫描构建代价体表示,利用跨视图特征相似性为深度估计提供几何线索...
Additionally, we have explored the potential of using Gaussian Splatting for non-face template single-process end-to-end Avatar Reconstruction, yielding promising experimental results.doi:10.1007/s40747-024-01691-xTeng Feihttps://ror.org/01285e189grid.449836.40000 0004 0644 5924School of Mechanical ...