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import streamlit as st | |
from streamlit_extras.switch_page_button import switch_page | |
st.title("4M-21") | |
st.success("""[Original tweet](https://twitter.com/mervenoyann/status/1804138208814309626) (June 21, 2024)""", icon="ℹ️") | |
st.markdown(""" """) | |
st.markdown(""" | |
EPFL and Apple just released 4M-21: single any-to-any model that can do anything from text-to-image generation to generating depth masks! 🙀 | |
Let's unpack 🧶 | |
""") | |
st.markdown(""" """) | |
st.image("pages/4M-21/image_1.jpg", use_column_width=True) | |
st.markdown(""" """) | |
st.markdown("""4M is a multimodal training [framework](https://t.co/jztLublfSF) introduced by Apple and EPFL. | |
Resulting model takes image and text and output image and text 🤩 | |
[Models](https://t.co/1LC0rAohEl) | [Demo](https://t.co/Ra9qbKcWeY) | |
""") | |
st.markdown(""" """) | |
st.video("pages/4M-21/video_1.mp4", format="video/mp4") | |
st.markdown(""" """) | |
st.markdown(""" | |
This model consists of transformer encoder and decoder, where the key to multimodality lies in input and output data: | |
input and output tokens are decoded to generate bounding boxes, generated image's pixels, captions and more! | |
""") | |
st.markdown(""" """) | |
st.image("pages/4M-21/image_2.jpg", use_column_width=True) | |
st.markdown(""" """) | |
st.markdown(""" | |
This model also learnt to generate canny maps, SAM edges and other things for steerable text-to-image generation 🖼️ | |
The authors only added image-to-all capabilities for the demo, but you can try to use this model for text-to-image generation as well ☺️ | |
""") | |
st.markdown(""" """) | |
st.image("pages/4M-21/image_3.jpg", use_column_width=True) | |
st.markdown(""" """) | |
st.markdown(""" | |
In the project page you can also see the model's text-to-image and steered generation capabilities with model's own outputs as control masks! | |
""") | |
st.markdown(""" """) | |
st.video("pages/4M-21/video_2.mp4", format="video/mp4") | |
st.markdown(""" """) | |
st.info(""" | |
Ressources | |
[4M-21: An Any-to-Any Vision Model for Tens of Tasks and Modalities](https://arxiv.org/abs/2406.09406) by Roman Bachmann, Oğuzhan Fatih Kar, David Mizrahi, Ali Garjani, Mingfei Gao, David Griffiths, Jiaming Hu, Afshin Dehghan, Amir Zamir (2024) | |
[GitHub](https://github.com/apple/ml-4m/)""", icon="📚") | |
st.markdown(""" """) | |
st.markdown(""" """) | |
st.markdown(""" """) | |
col1, col2, col3 = st.columns(3) | |
with col1: | |
if st.button('Previous paper', use_container_width=True): | |
switch_page("Florence-2") | |
with col2: | |
if st.button('Home', use_container_width=True): | |
switch_page("Home") | |
with col3: | |
if st.button('Next paper', use_container_width=True): | |
switch_page("RT-DETR") |