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+ schema_version: 1.0.0
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+ report_type: image-to-image
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+ task_type: image-to-image
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+ title: Neural Super Sampling (NSS)
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+ description: >-
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+ Neural Super Sampling (NSS) is a parameter prediction model for real-time temporal super
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+ sampling developed by Arm, optimized for execution on Neural Accelerators (NX) in mobile GPUs.
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+ It enables high-resolution rendering at a lower compute cost by reconstructing high-quality
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+ output frames from low-resolution temporal inputs. NSS is particularly suited for mobile
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+ gaming, XR, and other power-constrained graphics use cases.
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+ family_name: Neural Super Sampling
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+ id: Arm/neural-super-sampling
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+ filename: nss_v1_0_1_high_int8.vgf
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+ base_model_id: Arm/neural-super-sampling
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+ weight_dtype: int8
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+ profile: Arm-Optimized
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+ quantization:
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+ method: QAT
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+ weight_bits: 8
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+ activation_bits: 8
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+ model_size_mb: 0.16
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+ format: vgf