prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the LFFN-S model in the Lightweight Feature Fusion Network for Single Image Super-Resolution paper on the Set5 - 4x upscaling dataset? | PSNR, SSIM, MOS, LPIPS, Perceptual Index |
What metrics were used to measure the MemNet model in the MemNet: A Persistent Memory Network for Image Restoration paper on the Set5 - 4x upscaling dataset? | PSNR, SSIM, MOS, LPIPS, Perceptual Index |
What metrics were used to measure the ENet-E model in the EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis paper on the Set5 - 4x upscaling dataset? | PSNR, SSIM, MOS, LPIPS, Perceptual Index |
What metrics were used to measure the DRCN model in the Deeply-Recursive Convolutional Network for Image Super-Resolution paper on the Set5 - 4x upscaling dataset? | PSNR, SSIM, MOS, LPIPS, Perceptual Index |
What metrics were used to measure the RED30 model in the Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections paper on the Set5 - 4x upscaling dataset? | PSNR, SSIM, MOS, LPIPS, Perceptual Index |
What metrics were used to measure the RED30 model in the Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections paper on the Set5 - 4x upscaling dataset? | PSNR, SSIM, MOS, LPIPS, Perceptual Index |
What metrics were used to measure the N3Net model in the Neural Nearest Neighbors Networks paper on the Set5 - 4x upscaling dataset? | PSNR, SSIM, MOS, LPIPS, Perceptual Index |
What metrics were used to measure the DnCNN-3 model in the Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising paper on the Set5 - 4x upscaling dataset? | PSNR, SSIM, MOS, LPIPS, Perceptual Index |
What metrics were used to measure the DSRN model in the Image Super-Resolution via Dual-State Recurrent Networks paper on the Set5 - 4x upscaling dataset? | PSNR, SSIM, MOS, LPIPS, Perceptual Index |
What metrics were used to measure the ZSSR model in the "Zero-Shot" Super-Resolution using Deep Internal Learning paper on the Set5 - 4x upscaling dataset? | PSNR, SSIM, MOS, LPIPS, Perceptual Index |
What metrics were used to measure the MSSRNet model in the Single Image Super-Resolution with Dilated Convolution based Multi-Scale Information Learning Inception Module paper on the Set5 - 4x upscaling dataset? | PSNR, SSIM, MOS, LPIPS, Perceptual Index |
What metrics were used to measure the IA model in the Seven ways to improve example-based single image super resolution paper on the Set5 - 4x upscaling dataset? | PSNR, SSIM, MOS, LPIPS, Perceptual Index |
What metrics were used to measure the 4PP-EUSR model in the Deep Learning-based Image Super-Resolution Considering Quantitative and Perceptual Quality paper on the Set5 - 4x upscaling dataset? | PSNR, SSIM, MOS, LPIPS, Perceptual Index |
What metrics were used to measure the CSRCNN model in the Cascade Convolutional Neural Network for Image Super-Resolution paper on the Set5 - 4x upscaling dataset? | PSNR, SSIM, MOS, LPIPS, Perceptual Index |
What metrics were used to measure the RC-Net model in the Image Restoration Using Deep Regulated Convolutional Networks paper on the Set5 - 4x upscaling dataset? | PSNR, SSIM, MOS, LPIPS, Perceptual Index |
What metrics were used to measure the SPMC model in the Detail-revealing Deep Video Super-resolution paper on the Set5 - 4x upscaling dataset? | PSNR, SSIM, MOS, LPIPS, Perceptual Index |
What metrics were used to measure the Deep CNN Denoiser model in the Learning Deep CNN Denoiser Prior for Image Restoration paper on the Set5 - 4x upscaling dataset? | PSNR, SSIM, MOS, LPIPS, Perceptual Index |
What metrics were used to measure the TNRD model in the Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration paper on the Set5 - 4x upscaling dataset? | PSNR, SSIM, MOS, LPIPS, Perceptual Index |
What metrics were used to measure the ESPCN model in the Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network paper on the Set5 - 4x upscaling dataset? | PSNR, SSIM, MOS, LPIPS, Perceptual Index |
What metrics were used to measure the DeepRED model in the DeepRED: Deep Image Prior Powered by RED paper on the Set5 - 4x upscaling dataset? | PSNR, SSIM, MOS, LPIPS, Perceptual Index |
What metrics were used to measure the SRCNN model in the Image Super-Resolution Using Deep Convolutional Networks paper on the Set5 - 4x upscaling dataset? | PSNR, SSIM, MOS, LPIPS, Perceptual Index |
What metrics were used to measure the FARF* model in the Image Super-resolution via Feature-augmented Random Forest paper on the Set5 - 4x upscaling dataset? | PSNR, SSIM, MOS, LPIPS, Perceptual Index |
What metrics were used to measure the SPSR model in the Structure-Preserving Super Resolution with Gradient Guidance paper on the Set5 - 4x upscaling dataset? | PSNR, SSIM, MOS, LPIPS, Perceptual Index |
What metrics were used to measure the JMPF+ model in the Joint Maximum Purity Forest with Application to Image Super-Resolution paper on the Set5 - 4x upscaling dataset? | PSNR, SSIM, MOS, LPIPS, Perceptual Index |
What metrics were used to measure the SFT-GAN model in the Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform paper on the Set5 - 4x upscaling dataset? | PSNR, SSIM, MOS, LPIPS, Perceptual Index |
What metrics were used to measure the HyperRes model in the Hypernetwork-Based Adaptive Image Restoration paper on the Set5 - 4x upscaling dataset? | PSNR, SSIM, MOS, LPIPS, Perceptual Index |
What metrics were used to measure the SRGAN model in the Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network paper on the Set5 - 4x upscaling dataset? | PSNR, SSIM, MOS, LPIPS, Perceptual Index |
What metrics were used to measure the Deep Mean-Shift Priors model in the Deep Mean-Shift Priors for Image Restoration paper on the Set5 - 4x upscaling dataset? | PSNR, SSIM, MOS, LPIPS, Perceptual Index |
What metrics were used to measure the PixelRL-SR model in the Multi-Step Reinforcement Learning for Single Image Super-Resolution paper on the Set5 - 4x upscaling dataset? | PSNR, SSIM, MOS, LPIPS, Perceptual Index |
What metrics were used to measure the Edge-informed SR model in the Edge-Informed Single Image Super-Resolution paper on the Set5 - 4x upscaling dataset? | PSNR, SSIM, MOS, LPIPS, Perceptual Index |
What metrics were used to measure the bicubic model in the Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network paper on the Set5 - 4x upscaling dataset? | PSNR, SSIM, MOS, LPIPS, Perceptual Index |
What metrics were used to measure the Perceptual Loss model in the Perceptual Losses for Real-Time Style Transfer and Super-Resolution paper on the Set5 - 4x upscaling dataset? | PSNR, SSIM, MOS, LPIPS, Perceptual Index |
What metrics were used to measure the nearest neighbors model in the Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network paper on the Set5 - 4x upscaling dataset? | PSNR, SSIM, MOS, LPIPS, Perceptual Index |
What metrics were used to measure the CAR model in the Learned Image Downscaling for Upscaling using Content Adaptive Resampler paper on the Set5 - 4x upscaling dataset? | PSNR, SSIM, MOS, LPIPS, Perceptual Index |
What metrics were used to measure the S-RFN model in the Progressive Perception-Oriented Network for Single Image Super-Resolution paper on the Set5 - 4x upscaling dataset? | PSNR, SSIM, MOS, LPIPS, Perceptual Index |
What metrics were used to measure the Config (e) model in the One-to-many Approach for Improving Super-Resolution paper on the Set5 - 4x upscaling dataset? | PSNR, SSIM, MOS, LPIPS, Perceptual Index |
What metrics were used to measure the SRNTT-l2 model in the Image Super-Resolution by Neural Texture Transfer paper on the Sun80 - 4x upscaling dataset? | PSNR |
What metrics were used to measure the PASSRnet model in the Learning Parallax Attention for Stereo Image Super-Resolution paper on the KITTI 2012 - 2x upscaling dataset? | PSNR |
What metrics were used to measure the HAT-L model in the Activating More Pixels in Image Super-Resolution Transformer paper on the Set14 - 2x upscaling dataset? | PSNR, SSIM |
What metrics were used to measure the HAT_FIR model in the SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution paper on the Set14 - 2x upscaling dataset? | PSNR, SSIM |
What metrics were used to measure the HAT model in the Activating More Pixels in Image Super-Resolution Transformer paper on the Set14 - 2x upscaling dataset? | PSNR, SSIM |
What metrics were used to measure the SwinFIR model in the SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution paper on the Set14 - 2x upscaling dataset? | PSNR, SSIM |
What metrics were used to measure the DRLN+ model in the Densely Residual Laplacian Super-Resolution paper on the Set14 - 2x upscaling dataset? | PSNR, SSIM |
What metrics were used to measure the CSRCNN model in the Cascade Convolutional Neural Network for Image Super-Resolution paper on the Set14 - 2x upscaling dataset? | PSNR, SSIM |
What metrics were used to measure the LTE model in the Local Texture Estimator for Implicit Representation Function paper on the Set14 - 2x upscaling dataset? | PSNR, SSIM |
What metrics were used to measure the HAN+ model in the Single Image Super-Resolution via a Holistic Attention Network paper on the Set14 - 2x upscaling dataset? | PSNR, SSIM |
What metrics were used to measure the CSNLN model in the Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining paper on the Set14 - 2x upscaling dataset? | PSNR, SSIM |
What metrics were used to measure the DBPN-RES-MR64-3 model in the Deep Back-Projection Networks for Single Image Super-resolution paper on the Set14 - 2x upscaling dataset? | PSNR, SSIM |
What metrics were used to measure the SwinOIR model in the Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection Strategy paper on the Set14 - 2x upscaling dataset? | PSNR, SSIM |
What metrics were used to measure the SRFBN model in the Feedback Network for Image Super-Resolution paper on the Set14 - 2x upscaling dataset? | PSNR, SSIM |
What metrics were used to measure the HBPN model in the Hierarchical Back Projection Network for Image Super-Resolution paper on the Set14 - 2x upscaling dataset? | PSNR, SSIM |
What metrics were used to measure the MWCNN model in the Multi-level Wavelet-CNN for Image Restoration paper on the Set14 - 2x upscaling dataset? | PSNR, SSIM |
What metrics were used to measure the IMDN model in the Lightweight Image Super-Resolution with Information Multi-distillation Network paper on the Set14 - 2x upscaling dataset? | PSNR, SSIM |
What metrics were used to measure the SPBP-L+ model in the Sub-Pixel Back-Projection Network For Lightweight Single Image Super-Resolution paper on the Set14 - 2x upscaling dataset? | PSNR, SSIM |
What metrics were used to measure the FALSR-A model in the Fast, Accurate and Lightweight Super-Resolution with Neural Architecture Search paper on the Set14 - 2x upscaling dataset? | PSNR, SSIM |
What metrics were used to measure the CARN [[Ahn et al.2018]] model in the Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network paper on the Set14 - 2x upscaling dataset? | PSNR, SSIM |
What metrics were used to measure the CARN-M [[Ahn et al.2018]] model in the Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network paper on the Set14 - 2x upscaling dataset? | PSNR, SSIM |
What metrics were used to measure the DRCN [[Kim et al.2016b]] model in the Deeply-Recursive Convolutional Network for Image Super-Resolution paper on the Set14 - 2x upscaling dataset? | PSNR, SSIM |
What metrics were used to measure the DnCNN-3 model in the Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising paper on the Set14 - 2x upscaling dataset? | PSNR, SSIM |
What metrics were used to measure the VDSR [[Kim et al.2016a]] model in the Accurate Image Super-Resolution Using Very Deep Convolutional Networks paper on the Set14 - 2x upscaling dataset? | PSNR, SSIM |
What metrics were used to measure the RED30 model in the Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections paper on the Set14 - 2x upscaling dataset? | PSNR, SSIM |
What metrics were used to measure the Deep CNN Denoiser model in the Learning Deep CNN Denoiser Prior for Image Restoration paper on the Set14 - 2x upscaling dataset? | PSNR, SSIM |
What metrics were used to measure the CAR model in the Learned Image Downscaling for Upscaling using Content Adaptive Resampler paper on the Set14 - 2x upscaling dataset? | PSNR, SSIM |
What metrics were used to measure the HiFaceGAN model in the HiFaceGAN: Face Renovation via Collaborative Suppression and Replenishment paper on the FFHQ 256 x 256 - 4x upscaling dataset? | FID, MS-SSIM, PSNR, SSIM |
What metrics were used to measure the CAGFace model in the Component Attention Guided Face Super-Resolution Network: CAGFace paper on the FFHQ 256 x 256 - 4x upscaling dataset? | FID, MS-SSIM, PSNR, SSIM |
What metrics were used to measure the EnhanceNet model in the EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis paper on the FFHQ 256 x 256 - 4x upscaling dataset? | FID, MS-SSIM, PSNR, SSIM |
What metrics were used to measure the EDSR model in the Enhanced Deep Residual Networks for Single Image Super-Resolution paper on the FFHQ 256 x 256 - 4x upscaling dataset? | FID, MS-SSIM, PSNR, SSIM |
What metrics were used to measure the SRFBN model in the Feedback Network for Image Super-Resolution paper on the FFHQ 256 x 256 - 4x upscaling dataset? | FID, MS-SSIM, PSNR, SSIM |
What metrics were used to measure the FSRCNN model in the Accelerating the Super-Resolution Convolutional Neural Network paper on the FFHQ 256 x 256 - 4x upscaling dataset? | FID, MS-SSIM, PSNR, SSIM |
What metrics were used to measure the SRCNN model in the Image Super-Resolution Using Deep Convolutional Networks paper on the FFHQ 256 x 256 - 4x upscaling dataset? | FID, MS-SSIM, PSNR, SSIM |
What metrics were used to measure the SRGAN model in the Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network paper on the FFHQ 256 x 256 - 4x upscaling dataset? | FID, MS-SSIM, PSNR, SSIM |
What metrics were used to measure the ESRGAN model in the ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks paper on the FFHQ 256 x 256 - 4x upscaling dataset? | FID, MS-SSIM, PSNR, SSIM |
What metrics were used to measure the BRGM model in the Bayesian Image Reconstruction using Deep Generative Models paper on the FFHQ 256 x 256 - 4x upscaling dataset? | FID, MS-SSIM, PSNR, SSIM |
What metrics were used to measure the PULSE model in the PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models paper on the FFHQ 256 x 256 - 4x upscaling dataset? | FID, MS-SSIM, PSNR, SSIM |
What metrics were used to measure the GFRNet model in the Learning Warped Guidance for Blind Face Restoration paper on the WebFace - 8x upscaling dataset? | PSNR |
What metrics were used to measure the Full-GWAInet model in the Exemplar Guided Face Image Super-Resolution without Facial Landmarks paper on the WebFace - 8x upscaling dataset? | PSNR |
What metrics were used to measure the SRGAN model in the Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network paper on the WebFace - 8x upscaling dataset? | PSNR |
What metrics were used to measure the VDSR model in the Accurate Image Super-Resolution Using Very Deep Convolutional Networks paper on the WebFace - 8x upscaling dataset? | PSNR |
What metrics were used to measure the CBN model in the Deep Cascaded Bi-Network for Face Hallucination paper on the WebFace - 8x upscaling dataset? | PSNR |
What metrics were used to measure the WaveletSR model in the Wavelet-SRNet: A Wavelet-Based CNN for Multi-Scale Face Super Resolution paper on the WebFace - 8x upscaling dataset? | PSNR |
What metrics were used to measure the TDAE model in the Hallucinating Very Low-Resolution Unaligned and Noisy Face Images by Transformative Discriminative Autoencoders paper on the WebFace - 8x upscaling dataset? | PSNR |
What metrics were used to measure the HAT-L model in the Activating More Pixels in Image Super-Resolution Transformer paper on the BSD100 - 3x upscaling dataset? | PSNR, SSIM |
What metrics were used to measure the HAT model in the Activating More Pixels in Image Super-Resolution Transformer paper on the BSD100 - 3x upscaling dataset? | PSNR, SSIM |
What metrics were used to measure the HAT_FIR model in the SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution paper on the BSD100 - 3x upscaling dataset? | PSNR, SSIM |
What metrics were used to measure the SwinFIR model in the SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution paper on the BSD100 - 3x upscaling dataset? | PSNR, SSIM |
What metrics were used to measure the HAN+ model in the Single Image Super-Resolution via a Holistic Attention Network paper on the BSD100 - 3x upscaling dataset? | PSNR, SSIM |
What metrics were used to measure the DRLN+ model in the Densely Residual Laplacian Super-Resolution paper on the BSD100 - 3x upscaling dataset? | PSNR, SSIM |
What metrics were used to measure the LTE model in the Local Texture Estimator for Implicit Representation Function paper on the BSD100 - 3x upscaling dataset? | PSNR, SSIM |
What metrics were used to measure the CSNLN model in the Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining paper on the BSD100 - 3x upscaling dataset? | PSNR, SSIM |
What metrics were used to measure the SwinOIR model in the Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection Strategy paper on the BSD100 - 3x upscaling dataset? | PSNR, SSIM |
What metrics were used to measure the SRFBN model in the Feedback Network for Image Super-Resolution paper on the BSD100 - 3x upscaling dataset? | PSNR, SSIM |
What metrics were used to measure the MWCNN model in the Multi-level Wavelet-CNN for Image Restoration paper on the BSD100 - 3x upscaling dataset? | PSNR, SSIM |
What metrics were used to measure the IMDN model in the Lightweight Image Super-Resolution with Information Multi-distillation Network paper on the BSD100 - 3x upscaling dataset? | PSNR, SSIM |
What metrics were used to measure the RED30 model in the Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections paper on the BSD100 - 3x upscaling dataset? | PSNR, SSIM |
What metrics were used to measure the LFFN-S model in the Lightweight Feature Fusion Network for Single Image Super-Resolution paper on the BSD100 - 3x upscaling dataset? | PSNR, SSIM |
What metrics were used to measure the LCSCNet model in the LCSCNet: Linear Compressing Based Skip-Connecting Network for Image Super-Resolution paper on the BSD100 - 3x upscaling dataset? | PSNR, SSIM |
What metrics were used to measure the DnCNN-3 model in the Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising paper on the BSD100 - 3x upscaling dataset? | PSNR, SSIM |
What metrics were used to measure the RC-Net model in the Image Restoration Using Deep Regulated Convolutional Networks paper on the BSD100 - 3x upscaling dataset? | PSNR, SSIM |
What metrics were used to measure the HAT-L model in the Activating More Pixels in Image Super-Resolution Transformer paper on the Urban100 - 3x upscaling dataset? | PSNR, SSIM |
What metrics were used to measure the HAT_FIR model in the SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution paper on the Urban100 - 3x upscaling dataset? | PSNR, SSIM |
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