Add model card for F-ViTA (#1)
Browse files- Add model card for F-ViTA (2f95271d39175da6c42b3b3bb064306a08cbd5e3)
Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>
README.md
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
pipeline_tag: image-to-image
|
| 3 |
+
library_name: diffusers
|
| 4 |
+
license: mit
|
| 5 |
+
---
|
| 6 |
+
|
| 7 |
+
# F-ViTA: Foundation Model Guided Visible to Thermal Translation
|
| 8 |
+
|
| 9 |
+
This repository contains the model described in the paper [F-ViTA: Foundation Model Guided Visible to Thermal Translation](https://huggingface.co/papers/2504.02801).
|
| 10 |
+
|
| 11 |
+
F-ViTA leverages foundation models (SAM and Grounded DINO) to guide the visible-to-thermal image translation process using an InstructPix2Pix diffusion model. This approach improves translation accuracy and generalizes well to out-of-distribution scenarios.
|
| 12 |
+
|
| 13 |
+
Code: https://github.com/jay-jnp/F-ViTA
|
| 14 |
+
|
| 15 |
+
Pre-trained checkpoints are available for several datasets:
|
| 16 |
+
|
| 17 |
+
* **KAIST:** [huggingface.co/jay-jnp/F-ViTA\_KAIST](https://huggingface.co/jay-jnp/F-ViTA_KAIST)
|
| 18 |
+
* **FLIR:** [huggingface.co/jay-jnp/F-VITA\_FLIR](https://huggingface.co/jay-jnp/F-VITA_FLIR)
|
| 19 |
+
* **NIRSCENE:** [huggingface.co/jay-jnp/F-VITA\_NIRSCENE](https://huggingface.co/jay-jnp/F-VITA_NIRSCENE)
|
| 20 |
+
* **OSU:** [huggingface.co/jay-jnp/F-VITA\_OSU](https://huggingface.co/jay-jnp/F-VITA_OSU)
|