🎨 Difix
This demo showcases Difix, a single-step image diffusion model trained to enhance and remove artifacts in rendered novel views caused by underconstrained regions of 3D representation.
Key Features:
- Single-step diffusion-based artifact removal for 3D novel views
- Enhancement of underconstrained 3D regions (1024x576 default)
Model Status: ✅ Pipeline loaded successfully
Upload an image to see the restoration capabilities of Difix+. The model will automatically process your image and return an enhanced version.
🧑💻 GitHub Repository | 📄 Research Paper | 🤗 Hugging Face Model
📋 Example Images
Model: nvidia/difix | Resolution: 1024×576 | Prompt: 'remove degradation' | Steps: 1 | Timestep: 199 | Guidance Scale: 0.0