sayakpaul HF staff commited on
Commit
a684cd9
1 Parent(s): 88d9d97

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +10 -1
README.md CHANGED
@@ -1,9 +1,11 @@
1
  ---
2
  license: apache-2.0
3
  library_name: keras
 
4
  tags:
5
  - vision
6
  - maxim
 
7
  datasets:
8
  - reds
9
  ---
@@ -20,6 +22,13 @@ MAXIM introduces a shared MLP-based backbone for different image processing task
20
 
21
  ![](https://github.com/google-research/maxim/raw/main/maxim/images/overview.png)
22
 
 
 
 
 
 
 
 
23
  ## Intended uses & limitations
24
 
25
  You can use the raw model for image deblurring tasks.
@@ -28,7 +37,7 @@ The model is [officially released in JAX](https://github.com/google-research/max
28
 
29
  ### How to use
30
 
31
- Here is how to use this backbone encoder:
32
 
33
  ```python
34
  from huggingface_hub import from_pretrained_keras
1
  ---
2
  license: apache-2.0
3
  library_name: keras
4
+ language: en
5
  tags:
6
  - vision
7
  - maxim
8
+ - image-to-image
9
  datasets:
10
  - reds
11
  ---
22
 
23
  ![](https://github.com/google-research/maxim/raw/main/maxim/images/overview.png)
24
 
25
+ ## Training procedure and results
26
+
27
+ The authors didn't release the training code. For more details on how the model was trained, refer to the [original paper](https://arxiv.org/abs/2201.02973).
28
+
29
+ As per the [table](https://github.com/google-research/maxim#results-and-pre-trained-models), the model achieves a PSNR of 28.93 and an SSIM of 0.865.
30
+
31
+
32
  ## Intended uses & limitations
33
 
34
  You can use the raw model for image deblurring tasks.
37
 
38
  ### How to use
39
 
40
+ Here is how to use this model:
41
 
42
  ```python
43
  from huggingface_hub import from_pretrained_keras