Make README more detailed

README.md

@@ -9,4 +9,37 @@ app_file: app.py
 pinned: false
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Thera Arbitrary-Scale Super-Resolution
+This is an interactive demo for our paper "Thera: Aliasing-Free Arbitrary-Scale Super-Resolution with Neural Heat Fields
+" [(arXiV link)](https://arxiv.org/pdf/2311.17643) [(code link)](https://github.com/prs-eth/thera).
+
+## Run locally
+If you want to run the demo locally, you need a Python 3.10 environment (e.g., installed via conda) on Linux as well as an NVIDIA GPU. Then install packages via pip:
+```bash
+> pip install --upgrade pip
+> pip install -r requirements.txt
+```
+
+Then, start the Gradio server like this:
+```bash
+> python app.py
+```
+
+The server should bind to port `7860` by default.
+
+## Useful XLA flags
+* Disable pre-allocation of entire VRAM: `XLA_PYTHON_CLIENT_PREALLOCATE=false`
+* Disable jitting for debugging: `JAX_DISABLE_JIT=1`
+
+## Citation
+
+If you found our work helpful, consider citing our paper 😊:
+
+```
+@article{becker2025thera,
+  title={Thera: Aliasing-Free Arbitrary-Scale Super-Resolution with Neural Heat Fields},
+  author={Becker, Alexander and Daudt, Rodrigo Caye and Narnhofer, Dominik and Peters, Torben and Metzger, Nando and Wegner, Jan Dirk and Schindler, Konrad},
+  journal={arXiv preprint arXiv:2311.17643},
+  year={2025}
+}
+```

requirements.txt

@@ -30,4 +30,4 @@ wandb
 
 # gradio
 gradio_imageslider==0.0.20
-spaces
+spaces==4.44.1