Update README.md

README.md

@@ -4,4 +4,190 @@ datasets:
   - Viglong/Hunyuan3D-FLUX-Gen
 papers:
 space: Viglong/Orient-Anything-V2
+model: Viglong/OriAnyV2_ckpt
 ---
+
+<div align="center">
+<h1>[NeurIPS 2025 Spotlight]<br>
+Orient Anything V2: Unifying Orientation and Rotation Understanding</h1>
+
+[**Zehan Wang**](https://scholar.google.com/citations?user=euXK0lkAAAAJ)<sup>1*</sup> · [**Ziang Zhang**](https://scholar.google.com/citations?hl=zh-CN&user=DptGMnYAAAAJ)<sup>1*</sup> · [**Jialei Wang**](https://scholar.google.com/citations?hl=en&user=OIuFz1gAAAAJ)<sup>1</sup> · [**Jiayang Xu**](https://github.com/1339354001)<sup>1</sup> · [**Tianyu Pang**](https://scholar.google.com/citations?hl=zh-CN&user=wYDbtFsAAAAJ)<sup>2</sup> · [**Du Chao**](https://scholar.google.com/citations?hl=zh-CN&user=QOp7xW0AAAAJ)<sup>2</sup> · [**Hengshuang Zhao**](https://scholar.google.com/citations?user=4uE10I0AAAAJ&hl&oi=ao)<sup>3</sup> · [**Zhou Zhao**](https://scholar.google.com/citations?user=IIoFY90AAAAJ&hl&oi=ao)<sup>1</sup>
+
+<sup>1</sup>Zhejiang University&emsp;&emsp;&emsp;&emsp;<sup>2</sup>SEA AI Lab&emsp;&emsp;&emsp;&emsp;<sup>3</sup>HKU
+
+*Equal Contribution
+
+
+<a href='https://arxiv.org/abs/2412.18605'><img src='https://img.shields.io/badge/arXiv-PDF-red' alt='Paper PDF'></a>
+<a href='https://orient-anythingv2.github.io'><img src='https://img.shields.io/badge/Project_Page-OriAnyV2-green' alt='Project Page'></a>
+<a href='https://huggingface.co/spaces/Viglong/Orient-Anything-V2'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue'></a>
+<a href='https://huggingface.co/datasets/Viglong/OriAnyV2_Train_Render'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Train Data-orange'></a>
+<a href='https://huggingface.co/datasets/Viglong/OriAnyV2_Inference'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Test Data-orange'></a>
+<a href='https://huggingface.co/papers/2412.18605'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Paper-yellow'></a>
+</div>
+
+**Orient Anything V2**, a unified spatial vision model for understanding orientation, symmetry, and relative rotation, achieves SOTA performance across 14 datasets.
+
+<!-- ![teaser](https://github.com/SpatialVision/Orient-Anything-V2/blob/main/assets/overview.jpg) -->
+
+## News
+* **2025-10-24:** 🔥[Paper](https://arxiv.org/abs/2412.18605), [Project Page](https://orient-anythingv2.github.io), [Code](https://github.com/SpatialVision/Orient-Anything-V2), [Model Checkpoint](https://huggingface.co/Viglong/OriAnyV2_ckpt/blob/main/demo_ckpts/rotmod_realrotaug_best.pt), and [Demo](https://huggingface.co/spaces/Viglong/Orient-Anything-V2) have been released!
+
+* **2025-09-18:** 🔥Orient Anything V2 has been accepted as a Spotlight @ NeurIPS 2025!
+
+## Pre-trained Model Weights
+
+We provide pre-trained model weights and are continuously iterating on them to support more inference scenarios:
+
+| Model | Params | Checkpoint |
+|:-|-:|:-:|
+| Orient-Anything-V2 | 5.05 GB | [Download](https://huggingface.co/Viglong/OriAnyV2_ckpt/blob/main/demo_ckpts/rotmod_realrotaug_best.pt) |
+
+## Quick Start
+
+### 1 Dependency Installation
+
+```shell
+conda create -n orianyv2 python=3.11
+
+conda activate orianyv2
+
+pip install -r requirements.txt
+```
+
+### 2 Gradio App
+Start gradio by executing the following script:
+
+```bash
+python app.py
+```
+then open GUI page(default is https://127.0.0.1:7860) in web browser.
+
+or, you can try it in our [Huggingface-Space](https://huggingface.co/spaces/Viglong/Orient-Anything-V2)
+
+### 3 Python Scripts
+```python
+import numpy as np
+from PIL import Image
+import torch
+import tempfile
+import os
+
+from paths import *
+from vision_tower import VGGT_OriAny_Ref
+from inference import *
+from app_utils import *
+
+mark_dtype = torch.bfloat16 if torch.cuda.get_device_capability()[0] >= 8 else torch.float16
+# device = 'cuda:0'
+device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
+
+if os.path.exists(LOCAL_CKPT_PATH):
+    ckpt_path = LOCAL_CKPT_PATH
+else:
+    from huggingface_hub import hf_hub_download
+    ckpt_path = hf_hub_download(repo_id="Viglong/Orient-Anything-V2", filename=HF_CKPT_PATH, repo_type="model", cache_dir='./', resume_download=True)
+
+model = VGGT_OriAny_Ref(out_dim=900, dtype=mark_dtype, nopretrain=True)
+model.load_state_dict(torch.load(ckpt_path, map_location='cpu'))
+model.eval()
+model = model.to(device)
+print('Model loaded.')
+
+@torch.no_grad()
+def run_inference(pil_ref, pil_tgt=None, do_rm_bkg=True):
+    if pil_tgt is not None:
+        if do_rm_bkg:
+            pil_ref = background_preprocess(pil_ref, True)
+            pil_tgt = background_preprocess(pil_tgt, True)
+    else:
+        if do_rm_bkg:
+            pil_ref = background_preprocess(pil_ref, True)
+
+    try:
+        ans_dict = inf_single_case(model, pil_ref, pil_tgt)
+    except Exception as e:
+        print("Inference error:", e)
+        raise gr.Error(f"Inference failed: {str(e)}")
+
+    def safe_float(val, default=0.0):
+        try:
+            return float(val)
+        except:
+            return float(default)
+
+    az = safe_float(ans_dict.get('ref_az_pred', 0))
+    el = safe_float(ans_dict.get('ref_el_pred', 0))
+    ro = safe_float(ans_dict.get('ref_ro_pred', 0))
+    alpha = int(ans_dict.get('ref_alpha_pred', 1))
+
+    if pil_tgt is not None:
+      rel_az = safe_float(ans_dict.get('rel_az_pred', 0))
+      rel_el = safe_float(ans_dict.get('rel_el_pred', 0))
+      rel_ro = safe_float(ans_dict.get('rel_ro_pred', 0))
+
+      print("Relative Pose: Azi",rel_az,"Ele",rel_el,"Rot",rel_ro)
+
+image_ref_path = 'assets/examples/F35-0.jpg'
+image_tgt_path = 'assets/examples/F35-1.jpg' # optional
+
+image_ref = Image.open(image_ref_path).convert('RGB')
+image_tgt = Image.open(image_tgt_path).convert('RGB')
+
+run_inference(image_ref, image_tgt, True)
+```
+
+## Evaluate Orient-Anything-V2
+
+### Data Preparation
+Download the absolute orientation, relative rotation, and symm-orientation test datasets from [Huggingface Dataset](https://huggingface.co/datasets/Viglong/OriAnyV2_Inference).
+```shell
+# set mirror endpoint to accelerate
+# export HF_ENDPOINT='https://hf-mirror.com'
+
+huggingface-cli download --repo-type dataset Viglong/OriAnyV2_Inference --local-dir OriAnyV2_Inference
+```
+Use the following command to extract the dataset:
+
+```shell
+cd OriAnyV2_Inference
+for f in *.tar.gz; do
+    tar -xzf "$f"
+done
+```
+
+Modify `DATA_ROOT` in `paths.py` to point to the dataset root directory(`/path/to/OriAnyV2_Inference`).
+
+
+### Evaluate with torch-lightning
+To evaluate on test datasets, run the following code:
+
+```shell
+python eval_on_dataset.py
+```
+
+## Train Orient-Anything-V2
+
+We use `FLUX.1-dev` and `Hunyuan3D-2.0` to generate our training data and render it with Blender. We provide the fully rendered data, which you can obtain from the link below.
+
+[Hunyuan3D-FLUX-Gen](https://huggingface.co/datasets/Viglong/Hunyuan3D-FLUX-Gen)
+
+To store all this data, we recommend having at least **2TB** of free disk space on your server.
+
+We are currently organizing the complete **data construction pipeline** and **training code** for Orient-Anything-V2 — stay tuned.
+
+## Acknowledgement
+We would like to express our sincere gratitude to the following excellent works: 
+- [VGGT](https://github.com/facebookresearch/vggt)
+- [FLUX](https://github.com/black-forest-labs/flux)
+- [Hunyuan3D-2.0](https://github.com/Tencent-Hunyuan/Hunyuan3D-2)
+- [Blender](https://github.com/blender/blender)
+- [rembg](https://github.com/danielgatis/rembg)
+
+
+## Citation
+If you find this project useful, please consider citing:
+
+```bibtex
+
+```