leonwu0108 / neusurf Goto Github PK
View Code? Open in Web Editor NEW[AAAI'24] NeuSurf: On-Surface Priors for Neural Surface Reconstruction from Sparse Input Views
Home Page: https://alvin528.github.io/NeuSurf/
License: MIT License
[AAAI'24] NeuSurf: On-Surface Priors for Neural Surface Reconstruction from Sparse Input Views
Home Page: https://alvin528.github.io/NeuSurf/
License: MIT License
May I ask how I can run through my own data? Is there a formalized data preprocessing scheme? Thank you for your great work.
Hello! When I use the method mentioned in your paper Volrecon to evaluate the mesh, I encountered an error during the mesh cleaning step: AttributeError: 'Scene' object has no attribute 'vertices'. Could you please provide some guidance on how to measure the chamfer distance for the mesh results obtained from your model? Thank you!
Hello! In your comparison with Geo-neus in the appendix, I noticed that Geo-neus is also based on point cloud supervision. When you tried using two different settings with Geo-neus, did you directly modify the point cloud to the ply file provided by you? I would like to compare the results.
Can you please release the meshes for your method and other methods you've compared?
Hi! An interesting work! thanks for your great work.
When I follow MVSDF(Vis-MVSNet) to prepare my own dataset, I meet a question :
when I want to run test.py(in Vis-MVSNet)
python test.py --data_root ./dtu_scan75 --dataset_name general --num_src 4 --max_d 256 --resize 1280,720 --crop 1280,720 --load_path pretrained_model/vis --write_result --result_dir ./output
TypeError: forward() missing 3 required positional arguments: 'sample', 'depth_nums', and 'interval_scales'
my data structure as:
Hello, if I want to try using more views for training, such as 6 images, how should I process the dataset to obtain the pair.txt file?
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.