upload models

README.md

@@ -1,5 +1,54 @@
 ---
+language:
+- en
 license: openrail++
-license_name: op
-license_link: LICENSE
+pipeline_tag: novel-view-repair
+library_name: diffusers
+tags:
+- novel view repair
+- 3D Gaussian Splatting
+- computer vision
+pinned: true
 ---
+
+<h1 align="center">GSFixer Full Model Card</h1>
+
+<p align="center">
+<a title="Github" href="https://github.com/GSFix3D/GSFix3D" target="_blank" rel="noopener noreferrer" style="display: inline-block;">
+    <img src="https://img.shields.io/github/stars/GSFix3D/GSFix3D?label=GitHub%20%E2%98%85&logo=github&color=C8C" alt="Github">
+</a>
+<a title="Website" href="https://gsfix3d.github.io/" target="_blank" rel="noopener noreferrer" style="display: inline-block;">
+    <img src="https://img.shields.io/badge/%E2%99%A5%20Project%20-Website-blue" alt="Website">
+</a>
+<a title="arXiv" href="https://arxiv.org/pdf/2508.14717" target="_blank" rel="noopener noreferrer" style="display: inline-block;">
+    <img src="https://img.shields.io/badge/%F0%9F%93%84%20Read%20-Paper-AF3436" alt="arXiv">
+</a>
+<a title="License" href="https://huggingface.co/stabilityai/stable-diffusion-2/blob/main/LICENSE-MODEL" target="_blank" rel="noopener noreferrer" style="display: inline-block;">
+    <img src="https://img.shields.io/badge/License-OpenRAIL++-929292" alt="License">
+</a>
+</p>
+
+This model card is for the `gsfixer-full` model, which is designed for novel view repair of an image rendered from a 3DGS model with additional information gain from the mesh. The model is fine-tuned from the `stable-diffusion-2` [model](https://huggingface.co/stabilityai/stable-diffusion-2) following [Marigold](https://github.com/prs-eth/Marigold/tree/main) protocol. 
+
+#### Other Versions
+
+* [gsfixer-base](https://huggingface.co/goldoak1421/gsfixer-base): A version of this model that operates solely on 3DGS input.
+
+
+## Model Details
+- **Developed by:** Jiaxin Wei, Stefan Leutenegger, Simon Schaefer.
+- **License:** [CreativeML Open RAIL++-M License]().
+- **Model Description:** This model can be used to generate a repaired image of two input rendered images from the mesh and 3DGS, respectively. 
+  - **Resolution**: Even though any resolution can be processed, the model inherits the base diffusion model's effective resolution of roughly **768** pixels. 
+    This means that for optimal predictions, any larger input image should be resized to make the longer side 768 pixels before feeding it into the model.
+  - **Steps and scheduler**: This model was designed for usage with the **DDIM** scheduler and between **1 and 50** denoising steps.
+- **Cite as:**
+    ```bibtex
+    @article{wei2026gsfix3d,
+    title={GSFix3D: Diffusion-Guided Repair of Novel Views in Gaussian Splatting}, 
+    author={Wei, Jiaxin and Leutenegger, Stefan and Schaefer, Simon},
+    booktitle={2026 International Conference on 3D Vision (3DV)},
+    year={2026},
+    organization={IEEE}
+    }
+    ```

model_index.json

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+{
+  "_class_name": "MarigoldGSFixerPipeline",
+  "_diffusers_version": "0.25.0",
+  "default_denoising_steps": 4,
+  "default_processing_resolution": 768,
+  "unet": [
+    "diffusers",
+    "UNet2DConditionModel"
+  ],
+  "vae": [
+    "diffusers",
+    "AutoencoderKL"
+  ],
+  "scheduler": [
+    "diffusers",
+    "DDIMScheduler"
+  ],
+  "text_encoder": [
+    "transformers",
+    "CLIPTextModel"
+  ],
+  "tokenizer": [
+    "transformers",
+    "CLIPTokenizer"
+  ]
+}

scheduler/scheduler_config.json

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+{
+  "_class_name": "DDIMScheduler",
+  "_diffusers_version": "0.33.1",
+  "beta_end": 0.012,
+  "beta_schedule": "scaled_linear",
+  "beta_start": 0.00085,
+  "clip_sample": false,
+  "clip_sample_range": 1.0,
+  "dynamic_thresholding_ratio": 0.995,
+  "num_train_timesteps": 1000,
+  "prediction_type": "v_prediction",
+  "rescale_betas_zero_snr": true,
+  "sample_max_value": 1.0,
+  "set_alpha_to_one": false,
+  "skip_prk_steps": true,
+  "steps_offset": 1,
+  "thresholding": false,
+  "timestep_spacing": "trailing",
+  "trained_betas": null
+}

text_encoder/config.json

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+{
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+    "CLIPTextModel"
+  ],
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+  "intermediate_size": 4096,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 77,
+  "model_type": "clip_text_model",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 23,
+  "pad_token_id": 1,
+  "projection_dim": 512,
+  "torch_dtype": "float32",
+  "transformers_version": "4.25.0.dev0",
+  "vocab_size": 49408
+}

text_encoder/model.fp16.safetensors

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tokenizer/special_tokens_map.json

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tokenizer/tokenizer_config.json

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+}

unet/config.json

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+  "_diffusers_version": "0.33.1",
+  "_name_or_path": "/usr/wiss/weji/Datasets/hypersim_processed/base_ckpt/stable-diffusion-2/unet",
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vae/config.json

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