hyn2028 / tpdm Goto Github PK
View Code? Open in Web Editor NEWOfficial code for "Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models" (TPDM)
Official code for "Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models" (TPDM)
Hello!
I'm trying to use tpdm for generating a 3D Unconditional Volume using two diffusion models trained with knee volumes.
One of the models was trained with coronal slices and the other with axial slices. When I use those checkpoints, after 2000 sampling steps, the images (Volume) generated are completely noisy, almost white noise.
Do you have any tips on what is going wrong? Is there a specific orientation of the slices used to train the models?
My dataset was also small (10 volumes). Could that be one of the reasons for the issues? However, when I use the LDCT checkpoints, the TPDM is able to generate a 3D unconditional volume, and those models were also trained with a small dataset
Best regards.
Hello. I was checking the code and noticed that the factor for MR-ZSR is only defined from 2 to 5. Was that an intentional choice or is the code also prepared for greater factors. How can the matrices M, associated with the factor, be computed? Thanks and best regards.
I am testing the code run_tpdm_svct.py, it needs almost 15 hours for a single case (batchsize=8 A10080G). It's too slow, any methods to accelerate?
Hello, your paper showcases excellent reconstruction performance of sparse view CT, which has piqued my interest. But what is provided in the code is a checkpoint for another set of simulated data, not for the AAPM CT dataset. I'm not sure if it's convenient to provide the pretrained checkpoint for AAPM CT. I also noticed that your previous work on DiffuseMBIR provided checkpoints for AAPM, and if TPDM could be provided, it would be more helpful in forming a comparison. Thank you.
Hello.
Do you happen to know the exact dependencies versions of the score_sde code you used for training? There seems to be an error when installing the dependencies using the original repository.
Thanks and best regards.
I'm implementing your code.Is it convenient for you to provide your CT training and test data set files? If it is ok.This my email:[email protected] would appreciate it
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.