Logic/DDT
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

docs: update README.md

Browse Source 
surpresingly -> surprisingly
This commit is contained in:
Ikko Eltociear Ashimine
2025-04-15 17:27:35 +09:00
committed by GitHub
parent 45d5e8db5b
commit 39a5a47961
1 changed files with 2 additions and 2 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
README.md
View File

@@ -8,7 +8,7 @@
[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/ddt-decoupled-diffusion-transformer-1/image-generation-on-imagenet-256x256)](https://paperswithcode.com/sota/image-generation-on-imagenet-256x256?p=ddt-decoupled-diffusion-transformer-1) [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/ddt-decoupled-diffusion-transformer-1/image-generation-on-imagenet-256x256)](https://paperswithcode.com/sota/image-generation-on-imagenet-256x256?p=ddt-decoupled-diffusion-transformer-1)
## Introduction ## Introduction
We decouple diffusion transformer into encoder-decoder design, and surpresingly that a **more substantial encoder yields performance improvements as model size increases**. We decouple diffusion transformer into encoder-decoder design, and surprisingly that a **more substantial encoder yields performance improvements as model size increases**.
![](./figs/main.png) ![](./figs/main.png)
* We achieves **1.26 FID** on ImageNet256x256 Benchmark with DDT-XL/2(22en6de). * We achieves **1.26 FID** on ImageNet256x256 Benchmark with DDT-XL/2(22en6de).
* We achieves **1.28 FID** on ImageNet512x512 Benchmark with DDT-XL/2(22en6de). * We achieves **1.28 FID** on ImageNet512x512 Benchmark with DDT-XL/2(22en6de).