badge
This commit is contained in:
@@ -1,9 +1,10 @@
|
|||||||
# DDT: Decoupled Diffusion Transformer
|
# DDT: Decoupled Diffusion Transformer
|
||||||
arxiv link: [https://arxiv.org/abs/2504.05741](https://arxiv.org/abs/2504.05741)
|
[](https://arxiv.org/abs/2504.05741)
|
||||||
|
[](https://huggingface.co/papers/2504.05741)
|
||||||
|
|
||||||
ImagNet256 leaderboard: [https://paperswithcode.com/sota/image-generation-on-imagenet-256x256](https://paperswithcode.com/sota/image-generation-on-imagenet-256x256)
|
[](https://paperswithcode.com/sota/image-generation-on-imagenet-256x256?p=ddt-decoupled-diffusion-transformer)
|
||||||
|
|
||||||
ImagNet512 leaderboard: [https://paperswithcode.com/sota/image-generation-on-imagenet-512x512](https://paperswithcode.com/sota/image-generation-on-imagenet-512x512)
|
[](https://paperswithcode.com/sota/image-generation-on-imagenet-512x512?p=ddt-decoupled-diffusion-transformer)
|
||||||
## 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 surpresingly that a **more substantial encoder yields performance improvements as model size increases**.
|
||||||

|

|
||||||
|
|||||||
Reference in New Issue
Block a user