Comments (5)
Hi, results from table 3 are obtained by training from scratch, there is no pre-training.
from lafite.
PS, actually pre-training + fine-tuning is not guaranteed to obtain better results in this model. I think this is dataset- or domain-dependent.
In one of my previous experiment (not shown in the paper):
Pre-training with FFHQ + fine-tuning on MM-CelebA-HQ leads to better performance than training from scratch on MM-CelebA-HQ.
Pre-training on Google CC then fine-tuning on MS-COCO leads to worse results than training from scratch on MS-COCO.
from lafite.
The semi-supervised fine-tuning results in Fig.7(a) show that the Lafite achieves around 8.0 of FID trained on full COCO training data. Do the standard text-to-image Lafite models employ the semi-supervised fine-tuning method?
from lafite.
Results from table 3 are trained with only ground-truth pairs.
from lafite.
I read other issues and find that the contrastive regularizer for D and G plays an important role in Lafite. My confusion is solved. Thank you very much for your explanation. It was great help.
from lafite.
Related Issues (20)
- Understanding Multi-Line Text input for training and testing model HOT 1
- Some questions about the experimental setting HOT 1
- Data set download HOT 1
- The questions about parameters img_img_c and img_img_d HOT 1
- Questions on the class Model and Gaussian noise in loss.py, and data preprocessing HOT 4
- evaluate issue HOT 2
- A Question on the Temperature in the Contrastive Loss HOT 3
- any plans for the Lafite2? HOT 1
- Question about FID-k HOT 3
- A Question on Injecting Text Condition into Each Generator Layer. HOT 2
- Pre-trained Model on CUB dataset HOT 2
- Tune hyperparameters HOT 1
- Pretrained checkpoints for MM-CelebA-HQ HOT 1
- Question about finetuning hyperparams for mscoco HOT 3
- About generated results HOT 2
- Custom Dataset training HOT 8
- training time
- resume pretrained model problem HOT 1
- data preprocess
- weights link is not working
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 lafite.