[ICCV 2021] Our work presents a novel neural rendering approach that can efficiently reconstruct geometric and neural radiance fields for view synthesis. - apchenstu/mvsnerf
👍2kwea123 and elenacliu reacted with thumbs up emoji 👍 kwea123mentioned this issueJul 12, 2021 cost volume constraint - closer camera view#9 Closed Sign up for freeto join this conversation on GitHub. Already have an account?Sign in to comment...
Official code implementation for "BoostMVSNeRFs: Boosting MVS-based NeRFs to Generalizable View Synthesis in Large-scale Scenes" [SIGGRAPH 2024] - Su-Terry/BoostMVSNeRFs
最后,我们详细介绍了 FAST-LIVO2 的三个应用:无人机机载导航展示了系统实时机载导航的计算效率,机载测绘展示了系统的测绘精度,3D 模型渲染(基于网格和基于 NeRF)强调了我们重建的密集地图适用于后续渲染任务。我们在 GitHub 上开源我们的代码、数据集和应用程序,以造福机器人社区。 3DGS 几何/质量优化 2DGH: 2D...
return torch.mean((x[mask] - y[mask]) ** 2) def smooth_l1_loss(x, y, mask=None, beta=1.0): smooth_l1_loss = torch.nn.SmoothL1Loss(reduction='mean', beta=beta) if mask == None: return smooth_l1_loss(x, y) else: return smooth_l1_loss(x[mask], y[mask]) def...