OAOA commited on
Commit
a7d33ad
1 Parent(s): 28e9611

add arxiv link

Browse files
Files changed (1) hide show
  1. README.md +3 -3
README.md CHANGED
@@ -14,14 +14,14 @@ This model card focuses on the models associated with the InvSR project, which i
14
  ## Model Details
15
  - **Developed by:** Zongsheng Yue
16
  - **Model type:** Arbitrary-steps Image Super-resolution via Diffusion Inversion
17
- - **Model Description:** This is the model used in [Paper](https://arxiv.org/abs/2409.17058).
18
  - **Resources for more information:** [GitHub Repository](https://github.com/zsyOAOA/InvSR).
19
  - **Cite as:**
20
 
21
  @article{yue2024invSR,
22
  author = {Zongsheng Yue, Kang Liao, Chen Change Loy},
23
  title = {Arbitrary-steps Image Super-resolution via Diffusion Inversion},
24
- journal = {arxiv},
25
  year = {2024},
26
  }
27
 
@@ -51,4 +51,4 @@ We currently provide the following checkpoints:
51
  - [noise_predictor_sd_turbo_v5.pth](https://huggingface.co/OAOA/InvSR/blob/main/noise_predictor_sd_turbo_v5.pth): Noise estimation network trained for [SD-Turbo](https://huggingface.co/stabilityai/sd-turbo).
52
 
53
  ## Evaluation Results
54
- See [Paper](https://arxiv.org/abs/2409.17058) for details.
 
14
  ## Model Details
15
  - **Developed by:** Zongsheng Yue
16
  - **Model type:** Arbitrary-steps Image Super-resolution via Diffusion Inversion
17
+ - **Model Description:** This is the model used in [Paper](https://arxiv.org/abs/2412.09013).
18
  - **Resources for more information:** [GitHub Repository](https://github.com/zsyOAOA/InvSR).
19
  - **Cite as:**
20
 
21
  @article{yue2024invSR,
22
  author = {Zongsheng Yue, Kang Liao, Chen Change Loy},
23
  title = {Arbitrary-steps Image Super-resolution via Diffusion Inversion},
24
+ journal = {arXiv preprint arXiv:2412.09013},
25
  year = {2024},
26
  }
27
 
 
51
  - [noise_predictor_sd_turbo_v5.pth](https://huggingface.co/OAOA/InvSR/blob/main/noise_predictor_sd_turbo_v5.pth): Noise estimation network trained for [SD-Turbo](https://huggingface.co/stabilityai/sd-turbo).
52
 
53
  ## Evaluation Results
54
+ See [Paper](https://arxiv.org/abs/2412.09013) for details.