这个领域目前主要向SMPL靠近,就是给定一个规范空间,或者说template,然后从不同观测空间估计规范空间。这个领域也很有意思,有一些很好的demo。 Animatable[15]的流程图 2.8 NeRF的应用:多模态 目前基于NeRF的扩展工作,大部分使用的是图像、单目视频作为输入。探索其他模态如文字、音频等与图像的结合,能够催生惊艳的应用...
Template:NerfJump to: navigation, search No input Navigation menuCreate account Log in Template Discussion Read View source View history Search Main page About Recent changes Random page Help FAQ IRC channel Tools What links here Related changes Special pages Printable version Permanent link ...
3D photogrammetry 虽然可以实现 photorealistic 的重建,但是需要拍很多不同角度的图片才能实现精确的重建。而且在传统的方法中,我们想要得到一个 desire mesh,通常是从一个 template mesh 开始(比如:sphere),通过optimization方法,不断地 deform 到 desire shape。但是如果这个物体的形状很奇怪,比如这样子(有一个把手):...
nerfstudio-method-template Template repository for creating and registering methods in Nerfstudio. File Structure We recommend the following file structure: ├── my_method │ ├── __init__.py │ ├── my_config.py │ ├── custom_pipeline.py [optional] │ ├── custom_model.py [op...
2024-09-26 TFS-NeRF: Template-Free NeRF for Semantic 3D Reconstruction of Dynamic Scene Sandika Biswas et.al. 2409.17459 link 2024-09-25 SeaSplat: Representing Underwater Scenes with 3D Gaussian Splatting and a Physically Grounded Image Formation Model Daniel Yang et.al. 2409.17345 null 2024-09...
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gradient-based mesh optimization based on image reprojection is often difficult, likely because of local minima or poor conditioning of the loss landscape. Furthermore, this strategy requires a template mesh with fixed topology to be provided as an initialization before optimization [22], which is ...
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DiViNeT: 3D Reconstruction from Disparate Views via Neural Template Regularization https://arxiv.org/abs/2306.04699 Simon Fraser University 以三个disparate RGB图像为输入,使用基于体渲染的神经表面建模方法。在DTU和BlendMVS数据集上实现稀疏建模的最佳效果 ...
First you’ll want to use the toilet paper tubes as a template and cut circles out of the cardboard box Squeeze the toilet paper tubes into the holes, inserting about 1/2 way down. Insert the paper towel tubes to make the targets higher. Next, you’ll want to blow up the small ball...