toshas commited on
Commit
09cfdd2
·
1 Parent(s): fcff88b

unify cards

Browse files
Files changed (1) hide show
  1. README.md +2 -3
README.md CHANGED
@@ -5,7 +5,6 @@ license: openrail++
5
  pipeline_tag: image-to-image
6
  library_name: diffusers
7
  tags:
8
- - normals-estimation
9
  - normals estimation
10
  - image analysis
11
  - computer vision
@@ -43,8 +42,8 @@ pinned: true
43
  This is a model card for the `marigold-normals-v1-1` model for monocular normals estimation from a single image.
44
  The model is fine-tuned from the `stable-diffusion-2` [model](https://huggingface.co/stabilityai/stable-diffusion-2) as
45
  described in our papers:
46
- - [CVPR'2024 paper](https://arxiv.org/abs/2312.02145) titled "Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation"
47
- - [Jounal extension](https://arxiv.org/abs/2505.09358) titled "Marigold: Affordable Adaptation of Diffusion-Based Image Generators for Image Analysis"
48
 
49
  ### Using the model
50
  - Play with the interactive [Hugging Face Spaces demo](https://huggingface.co/spaces/prs-eth/marigold-normals): check out how the model works with example images or upload your own.
 
5
  pipeline_tag: image-to-image
6
  library_name: diffusers
7
  tags:
 
8
  - normals estimation
9
  - image analysis
10
  - computer vision
 
42
  This is a model card for the `marigold-normals-v1-1` model for monocular normals estimation from a single image.
43
  The model is fine-tuned from the `stable-diffusion-2` [model](https://huggingface.co/stabilityai/stable-diffusion-2) as
44
  described in our papers:
45
+ - [CVPR'2024 paper](https://hf.co/papers/2312.02145) titled "Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation"
46
+ - [Journal extension](https://hf.co/papers/2505.09358) titled "Marigold: Affordable Adaptation of Diffusion-Based Image Generators for Image Analysis"
47
 
48
  ### Using the model
49
  - Play with the interactive [Hugging Face Spaces demo](https://huggingface.co/spaces/prs-eth/marigold-normals): check out how the model works with example images or upload your own.