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SUPIR by XPixel Group
✓ verifiedFree
Open academic research model (SUPIR) for high-fidelity, text-guided AI image restoration and upscaling.
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MMAudio
✓ verifiedFree
Open research model that generates high-quality audio synchronized to video and/or text prompts (CVPR 2025).
Pricing
No public pricing
No public pricing
No public pricing
Core features
- ✦Text-driven, diffusion-based image restoration
- ✦Specialized handling for faces, landscapes, animals, and architecture
- ✦Restoration presets for gaming screenshots and classic film footage
- ✦Vintage photo revival for old/degraded images
- ✦Published research paper and GitHub codebase
- ✦Commercial spinoff product (SupPixel AI) for restoration and upscaling
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- ✦Video-to-audio generation
- ✦Text-conditioned audio synthesis
- ✦Synchronized, high-quality output
- ✦Open code and demos (HuggingFace, Colab, Replicate)
Use cases
- →Researchers experimenting with diffusion-based restoration techniques
- →Developers building on the open SUPIR model via GitHub
- →Users wanting to restore old or degraded photos through the SupPixel product
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- →Adding synchronized soundtracks to silent video
- →Generating sound effects from text or video
- →Research on multimodal audio synthesis
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