Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

docs: update README.md #44

Open
wants to merge 1 commit into
base: main
Choose a base branch
from
Open

docs: update README.md #44

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -32,7 +32,7 @@ We present a compact 1D tokenizer which can represent an image with as few as 32

#### We introduce a novel 1D image tokenization framework that breaks grid constraints existing in 2D tokenization methods, leading to a much more flexible and compact image latent representation.

#### The proposed 1D tokenizer can tokenize a 256 × 256 image into as few as 32 discrete tokens, leading to a signigicant speed-up (hundreds times faster than diffusion models) in generation process, while maintaining state-of-the-art generation quality.
#### The proposed 1D tokenizer can tokenize a 256 × 256 image into as few as 32 discrete tokens, leading to a significant speed-up (hundreds times faster than diffusion models) in generation process, while maintaining state-of-the-art generation quality.

#### We conduct a series of experiments to probe the properties of rarely studied 1D image tokenization, paving the path towards compact latent space for efficient and effective image representation.

Expand Down