Comments (1)
These are the two variances considered in the DDPM paper. The bottom row corresponds to the larger variance used (which is the one used in the DDPM CIFAR10 results, hence the lower FID).
from ddim.
Related Issues (20)
- sampling code of DDPM
- lsun.py can't load classes list
- HOW to use the pretrained model of celeba
- Does this repo support multi-GPUs?
- Transferability to transformers HOT 2
- FID of DDPM on CIFAR-10 HOT 3
- got an unexpected keyword argument `eta` HOT 5
- How about the training setting of CelebA model HOT 3
- Question about Lemma 1 in the paper
- test data
- DDIM inversion HOT 4
- why the activation functions formed like this in the code? HOT 1
- train loss goes very large HOT 5
- using DistributedDataParallel HOT 2
- run sampling process with cifar10 dataset HOT 1
- Generation Process not producing quality images. HOT 2
- Questions about noise distributions during training and sampling HOT 1
- Could you please provide guidance on the calculation of FID? HOT 1
- Regarding the issue of excessive FID HOT 2
- reconstruction from latent code HOT 7
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from ddim.