NeMo
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@@ -280,7 +280,7 @@ Model Type:
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  Intended Users: | Generative AI developers for image and video generation models
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  Output: | Images/Videos and Latent Tokens
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  Describe how the model works: | Compresses and decompresses visual input (image/video).
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- Technical Limitations: | Some visual information (such as small text) may not be reconstructed accurately by the model.
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  Verified to have met prescribed NVIDIA quality standards: | Yes
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  Performance Metrics: | Peak Signal-to-Noise Ratio (PSNR), Structural Similarity (SSIM), Reconstruction Fréchet Video Distance (rFVD), Reconstruction Fréchet Inception Distance (rFID), Latency
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  Potential Known Risks: | Tokenizer's output can parse all forms of input, including what may be considered toxic, offensive, or indecent.
 
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  Intended Users: | Generative AI developers for image and video generation models
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  Output: | Images/Videos and Latent Tokens
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  Describe how the model works: | Compresses and decompresses visual input (image/video).
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+ Technical Limitations: | Due to tokenizer compression limitations, some visual information (such as small text and other structured fine details) may not be reconstructed accurately.
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  Verified to have met prescribed NVIDIA quality standards: | Yes
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  Performance Metrics: | Peak Signal-to-Noise Ratio (PSNR), Structural Similarity (SSIM), Reconstruction Fréchet Video Distance (rFVD), Reconstruction Fréchet Inception Distance (rFID), Latency
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  Potential Known Risks: | Tokenizer's output can parse all forms of input, including what may be considered toxic, offensive, or indecent.