prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the MaCow (Var) model in the MaCow: Masked Convolutional Generative Flow paper on the CIFAR-10 dataset? | FID, FD, NFE, Inception score, bits/dimension, Recall, Precision |
What metrics were used to measure the EBM-DRL (T1k) model in the Learning Energy-Based Models by Diffusion Recovery Likelihood paper on the CIFAR-10 dataset? | FID, FD, NFE, Inception score, bits/dimension, Recall, Precision |
What metrics were used to measure the MALI model in the MALI: A memory efficient and reverse accurate integrator for Neural ODEs paper on the CIFAR-10 dataset? | FID, FD, NFE, Inception score, bits/dimension, Recall, Precision |
What metrics were used to measure the Glow with resampled base distribution model in the Resampling Base Distributions of Normalizing Flows paper on the CIFAR-10 dataset? | FID, FD, NFE, Inception score, bits/dimension, Recall, Precision |
What metrics were used to measure the Performer (12 layers) model in the Rethinking Attention with Performers paper on the CIFAR-10 dataset? | FID, FD, NFE, Inception score, bits/dimension, Recall, Precision |
What metrics were used to measure the MintNet model in the MintNet: Building Invertible Neural Networks with Masked Convolutions paper on the CIFAR-10 dataset? | FID, FD, NFE, Inception score, bits/dimension, Recall, Precision |
What metrics were used to measure the Performer (6 layers) model in the Rethinking Attention with Performers paper on the CIFAR-10 dataset? | FID, FD, NFE, Inception score, bits/dimension, Recall, Precision |
What metrics were used to measure the Glow (Kingma and Dhariwal, 2018) model in the Glow: Generative Flow with Invertible 1x1 Convolutions paper on the CIFAR-10 dataset? | FID, FD, NFE, Inception score, bits/dimension, Recall, Precision |
What metrics were used to measure the DVAE++ Vahdat et al. ([2018b]) model in the DVAE++: Discrete Variational Autoencoders with Overlapping Transformations paper on the CIFAR-10 dataset? | FID, FD, NFE, Inception score, bits/dimension, Recall, Precision |
What metrics were used to measure the RNODE model in the How to train your neural ODE: the world of Jacobian and kinetic regularization paper on the CIFAR-10 dataset? | FID, FD, NFE, Inception score, bits/dimension, Recall, Precision |
What metrics were used to measure the FFJORD model in the FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models paper on the CIFAR-10 dataset? | FID, FD, NFE, Inception score, bits/dimension, Recall, Precision |
What metrics were used to measure the i-ResNet model in the Invertible Residual Networks paper on the CIFAR-10 dataset? | FID, FD, NFE, Inception score, bits/dimension, Recall, Precision |
What metrics were used to measure the RIDE model in the Generative Image Modeling Using Spatial LSTMs paper on the CIFAR-10 dataset? | FID, FD, NFE, Inception score, bits/dimension, Recall, Precision |
What metrics were used to measure the Real NVP (Dinh et al., 2017) model in the Density estimation using Real NVP paper on the CIFAR-10 dataset? | FID, FD, NFE, Inception score, bits/dimension, Recall, Precision |
What metrics were used to measure the Real NVP model in the Density estimation using Real NVP paper on the CIFAR-10 dataset? | FID, FD, NFE, Inception score, bits/dimension, Recall, Precision |
What metrics were used to measure the VAE+RealNVP model in the Super-resolution Variational Auto-Encoders paper on the CIFAR-10 dataset? | FID, FD, NFE, Inception score, bits/dimension, Recall, Precision |
What metrics were used to measure the MRCNF model in the Multi-Resolution Continuous Normalizing Flows paper on the CIFAR-10 dataset? | FID, FD, NFE, Inception score, bits/dimension, Recall, Precision |
What metrics were used to measure the Conv DRAW model in the Towards Conceptual Compression paper on the CIFAR-10 dataset? | FID, FD, NFE, Inception score, bits/dimension, Recall, Precision |
What metrics were used to measure the srVAE model in the Super-resolution Variational Auto-Encoders paper on the CIFAR-10 dataset? | FID, FD, NFE, Inception score, bits/dimension, Recall, Precision |
What metrics were used to measure the Axial Transformer (6 layers) model in the Axial Attention in Multidimensional Transformers paper on the CIFAR-10 dataset? | FID, FD, NFE, Inception score, bits/dimension, Recall, Precision |
What metrics were used to measure the Deep GMM model in the Factoring Variations in Natural Images with Deep Gaussian Mixture Models paper on the CIFAR-10 dataset? | FID, FD, NFE, Inception score, bits/dimension, Recall, Precision |
What metrics were used to measure the DRAW model in the DRAW: A Recurrent Neural Network For Image Generation paper on the CIFAR-10 dataset? | FID, FD, NFE, Inception score, bits/dimension, Recall, Precision |
What metrics were used to measure the Logsparse (6 layers) model in the Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting paper on the CIFAR-10 dataset? | FID, FD, NFE, Inception score, bits/dimension, Recall, Precision |
What metrics were used to measure the NICE model in the Pixel Recurrent Neural Networks paper on the CIFAR-10 dataset? | FID, FD, NFE, Inception score, bits/dimension, Recall, Precision |
What metrics were used to measure the NICE model in the NICE: Non-linear Independent Components Estimation paper on the CIFAR-10 dataset? | FID, FD, NFE, Inception score, bits/dimension, Recall, Precision |
What metrics were used to measure the DPT model in the Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels paper on the ImageNet 256x256 - 1 labeled data per class dataset? | FID-50k, sFID, IS, Precision, Recall |
What metrics were used to measure the GAUDI model in the GAUDI: A Neural Architect for Immersive 3D Scene Generation paper on the VizDoom dataset? | FID, FID (SwAV) |
What metrics were used to measure the GSN model in the GAUDI: A Neural Architect for Immersive 3D Scene Generation paper on the VizDoom dataset? | FID, FID (SwAV) |
What metrics were used to measure the GRAF model in the GAUDI: A Neural Architect for Immersive 3D Scene Generation paper on the VizDoom dataset? | FID, FID (SwAV) |
What metrics were used to measure the π-GAN model in the GAUDI: A Neural Architect for Immersive 3D Scene Generation paper on the VizDoom dataset? | FID, FID (SwAV) |
What metrics were used to measure the BigGAN + gSR model in the Improving GANs for Long-Tailed Data through Group Spectral Regularization paper on the LSUN dataset? | Average FID |
What metrics were used to measure the RDM model in the Relay Diffusion: Unifying diffusion process across resolutions for image synthesis paper on the CelebA-HQ 256x256 dataset? | FID, bits/dimension, Recall, NFE, Precision |
What metrics were used to measure the StyleSwin model in the StyleSwin: Transformer-based GAN for High-resolution Image Generation paper on the CelebA-HQ 256x256 dataset? | FID, bits/dimension, Recall, NFE, Precision |
What metrics were used to measure the LDM-4 model in the High-Resolution Image Synthesis with Latent Diffusion Models paper on the CelebA-HQ 256x256 dataset? | FID, bits/dimension, Recall, NFE, Precision |
What metrics were used to measure the LFM model in the Flow Matching in Latent Space paper on the CelebA-HQ 256x256 dataset? | FID, bits/dimension, Recall, NFE, Precision |
What metrics were used to measure the WaveDiff model in the Wavelet Diffusion Models are fast and scalable Image Generators paper on the CelebA-HQ 256x256 dataset? | FID, bits/dimension, Recall, NFE, Precision |
What metrics were used to measure the UNCSN++ (RVE) + ST model in the Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation paper on the CelebA-HQ 256x256 dataset? | FID, bits/dimension, Recall, NFE, Precision |
What metrics were used to measure the LSGM model in the Score-based Generative Modeling in Latent Space paper on the CelebA-HQ 256x256 dataset? | FID, bits/dimension, Recall, NFE, Precision |
What metrics were used to measure the DDGAN model in the Tackling the Generative Learning Trilemma with Denoising Diffusion GANs paper on the CelebA-HQ 256x256 dataset? | FID, bits/dimension, Recall, NFE, Precision |
What metrics were used to measure the VQGAN+Transformer model in the Taming Transformers for High-Resolution Image Synthesis paper on the CelebA-HQ 256x256 dataset? | FID, bits/dimension, Recall, NFE, Precision |
What metrics were used to measure the DC-VAE model in the Dual Contradistinctive Generative Autoencoder paper on the CelebA-HQ 256x256 dataset? | FID, bits/dimension, Recall, NFE, Precision |
What metrics were used to measure the VAEBM model in the VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models paper on the CelebA-HQ 256x256 dataset? | FID, bits/dimension, Recall, NFE, Precision |
What metrics were used to measure the GLOW model in the Glow: Generative Flow with Invertible 1x1 Convolutions paper on the CelebA-HQ 256x256 dataset? | FID, bits/dimension, Recall, NFE, Precision |
What metrics were used to measure the RNODE model in the How to train your neural ODE: the world of Jacobian and kinetic regularization paper on the CelebA-HQ 256x256 dataset? | FID, bits/dimension, Recall, NFE, Precision |
What metrics were used to measure the Projected GAN model in the Projected GANs Converge Faster paper on the CLEVR dataset? | FID-5k-training-steps |
What metrics were used to measure the GANformer model in the Generative Adversarial Transformers paper on the CLEVR dataset? | FID-5k-training-steps |
What metrics were used to measure the StyleGAN2 model in the Generative Adversarial Transformers paper on the CLEVR dataset? | FID-5k-training-steps |
What metrics were used to measure the GAN model in the Generative Adversarial Transformers paper on the CLEVR dataset? | FID-5k-training-steps |
What metrics were used to measure the SAGAN model in the Generative Adversarial Transformers paper on the CLEVR dataset? | FID-5k-training-steps |
What metrics were used to measure the VQGAN model in the Generative Adversarial Transformers paper on the CLEVR dataset? | FID-5k-training-steps |
What metrics were used to measure the CIPS model in the Image Generators with Conditionally-Independent Pixel Synthesis paper on the Satellite-Buildings 256 x 256 dataset? | FID |
What metrics were used to measure the LeCAM + DA model in the Regularizing Generative Adversarial Networks under Limited Data paper on the 25% ImageNet 128x128 dataset? | FID, IS |
What metrics were used to measure the GAUDI model in the GAUDI: A Neural Architect for Immersive 3D Scene Generation paper on the Replica dataset? | FID, FID (SwAV) |
What metrics were used to measure the GSN model in the GAUDI: A Neural Architect for Immersive 3D Scene Generation paper on the Replica dataset? | FID, FID (SwAV) |
What metrics were used to measure the GRAF model in the GAUDI: A Neural Architect for Immersive 3D Scene Generation paper on the Replica dataset? | FID, FID (SwAV) |
What metrics were used to measure the π-GAN model in the GAUDI: A Neural Architect for Immersive 3D Scene Generation paper on the Replica dataset? | FID, FID (SwAV) |
What metrics were used to measure the Projected GAN model in the Projected GANs Converge Faster paper on the Stanford Dogs dataset? | FID, Inception score |
What metrics were used to measure the FineGAN model in the FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery paper on the Stanford Dogs dataset? | FID, Inception score |
What metrics were used to measure the InfoGAN model in the InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets paper on the Stanford Dogs dataset? | FID, Inception score |
What metrics were used to measure the LR-GAN model in the LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation paper on the Stanford Dogs dataset? | FID, Inception score |
What metrics were used to measure the StyleNAT model in the StyleNAT: Giving Each Head a New Perspective paper on the FFHQ 256 x 256 dataset? | FID, FD, Precision, Recall, IS, bits/dimension |
What metrics were used to measure the StyleGAN-XL model in the StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets paper on the FFHQ 256 x 256 dataset? | FID, FD, Precision, Recall, IS, bits/dimension |
What metrics were used to measure the HiT-L model in the Improved Transformer for High-Resolution GANs paper on the FFHQ 256 x 256 dataset? | FID, FD, Precision, Recall, IS, bits/dimension |
What metrics were used to measure the Poly-INR model in the Polynomial Implicit Neural Representations For Large Diverse Datasets paper on the FFHQ 256 x 256 dataset? | FID, FD, Precision, Recall, IS, bits/dimension |
What metrics were used to measure the StyleSwin model in the StyleSwin: Transformer-based GAN for High-resolution Image Generation paper on the FFHQ 256 x 256 dataset? | FID, FD, Precision, Recall, IS, bits/dimension |
What metrics were used to measure the HiT-B model in the Improved Transformer for High-Resolution GANs paper on the FFHQ 256 x 256 dataset? | FID, FD, Precision, Recall, IS, bits/dimension |
What metrics were used to measure the HiT-S model in the Improved Transformer for High-Resolution GANs paper on the FFHQ 256 x 256 dataset? | FID, FD, Precision, Recall, IS, bits/dimension |
What metrics were used to measure the InsGen model in the Data-Efficient Instance Generation from Instance Discrimination paper on the FFHQ 256 x 256 dataset? | FID, FD, Precision, Recall, IS, bits/dimension |
What metrics were used to measure the Anycost GAN model in the Anycost GANs for Interactive Image Synthesis and Editing paper on the FFHQ 256 x 256 dataset? | FID, FD, Precision, Recall, IS, bits/dimension |
What metrics were used to measure the Projected-GAN (Official) model in the Projected GANs Converge Faster paper on the FFHQ 256 x 256 dataset? | FID, FD, Precision, Recall, IS, bits/dimension |
What metrics were used to measure the LeCAM (StyleGAN2 + ADA) model in the Regularizing Generative Adversarial Networks under Limited Data paper on the FFHQ 256 x 256 dataset? | FID, FD, Precision, Recall, IS, bits/dimension |
What metrics were used to measure the StyleGAN2 + ADA model in the Training Generative Adversarial Networks with Limited Data paper on the FFHQ 256 x 256 dataset? | FID, FD, Precision, Recall, IS, bits/dimension |
What metrics were used to measure the Projected-GAN (Exposing) model in the Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models paper on the FFHQ 256 x 256 dataset? | FID, FD, Precision, Recall, IS, bits/dimension |
What metrics were used to measure the CIPS model in the Image Generators with Conditionally-Independent Pixel Synthesis paper on the FFHQ 256 x 256 dataset? | FID, FD, Precision, Recall, IS, bits/dimension |
What metrics were used to measure the LFM model in the Flow Matching in Latent Space paper on the FFHQ 256 x 256 dataset? | FID, FD, Precision, Recall, IS, bits/dimension |
What metrics were used to measure the INR-GAN-bil model in the Adversarial Generation of Continuous Images paper on the FFHQ 256 x 256 dataset? | FID, FD, Precision, Recall, IS, bits/dimension |
What metrics were used to measure the SWAGAN-Bi model in the SWAGAN: A Style-based Wavelet-driven Generative Model paper on the FFHQ 256 x 256 dataset? | FID, FD, Precision, Recall, IS, bits/dimension |
What metrics were used to measure the UDM (RVE) + ST model in the Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation paper on the FFHQ 256 x 256 dataset? | FID, FD, Precision, Recall, IS, bits/dimension |
What metrics were used to measure the Unleashing Transformers model in the Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes paper on the FFHQ 256 x 256 dataset? | FID, FD, Precision, Recall, IS, bits/dimension |
What metrics were used to measure the GANFormer model in the Generative Adversarial Transformers paper on the FFHQ 256 x 256 dataset? | FID, FD, Precision, Recall, IS, bits/dimension |
What metrics were used to measure the U-Net GAN model in the A U-Net Based Discriminator for Generative Adversarial Networks paper on the FFHQ 256 x 256 dataset? | FID, FD, Precision, Recall, IS, bits/dimension |
What metrics were used to measure the GANFormer2 model in the Compositional Transformers for Scene Generation paper on the FFHQ 256 x 256 dataset? | FID, FD, Precision, Recall, IS, bits/dimension |
What metrics were used to measure the LDM model in the Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models paper on the FFHQ 256 x 256 dataset? | FID, FD, Precision, Recall, IS, bits/dimension |
What metrics were used to measure the VQGAN+Transformer model in the Taming Transformers for High-Resolution Image Synthesis paper on the FFHQ 256 x 256 dataset? | FID, FD, Precision, Recall, IS, bits/dimension |
What metrics were used to measure the BigGAN model in the A U-Net Based Discriminator for Generative Adversarial Networks paper on the FFHQ 256 x 256 dataset? | FID, FD, Precision, Recall, IS, bits/dimension |
What metrics were used to measure the VE (erel=0.01) model in the Gotta Go Fast When Generating Data with Score-Based Models paper on the FFHQ 256 x 256 dataset? | FID, FD, Precision, Recall, IS, bits/dimension |
What metrics were used to measure the VE (erel=0.02) model in the Gotta Go Fast When Generating Data with Score-Based Models paper on the FFHQ 256 x 256 dataset? | FID, FD, Precision, Recall, IS, bits/dimension |
What metrics were used to measure the Efficient-VDVAE model in the Efficient-VDVAE: Less is more paper on the FFHQ 256 x 256 dataset? | FID, FD, Precision, Recall, IS, bits/dimension |
What metrics were used to measure the LDM (DINOv2) model in the Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models paper on the FFHQ 256 x 256 dataset? | FID, FD, Precision, Recall, IS, bits/dimension |
What metrics were used to measure the StyleNAT (DINOv2) model in the StyleNAT: Giving Each Head a New Perspective paper on the FFHQ 256 x 256 dataset? | FID, FD, Precision, Recall, IS, bits/dimension |
What metrics were used to measure the StyleGAN-XL (DINOv2) model in the StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets paper on the FFHQ 256 x 256 dataset? | FID, FD, Precision, Recall, IS, bits/dimension |
What metrics were used to measure the StyleSwin (DINOv2) model in the StyleSwin: Transformer-based GAN for High-resolution Image Generation paper on the FFHQ 256 x 256 dataset? | FID, FD, Precision, Recall, IS, bits/dimension |
What metrics were used to measure the Unleashing Transformers (DINOv2) model in the Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes paper on the FFHQ 256 x 256 dataset? | FID, FD, Precision, Recall, IS, bits/dimension |
What metrics were used to measure the InsGen (DINOv2) model in the Data-Efficient Instance Generation from Instance Discrimination paper on the FFHQ 256 x 256 dataset? | FID, FD, Precision, Recall, IS, bits/dimension |
What metrics were used to measure the Efficient-VDVAE (DINOv2) model in the Efficient-VDVAE: Less is more paper on the FFHQ 256 x 256 dataset? | FID, FD, Precision, Recall, IS, bits/dimension |
What metrics were used to measure the StyleGAN2 + ADA (DINOv2) model in the Training Generative Adversarial Networks with Limited Data paper on the FFHQ 256 x 256 dataset? | FID, FD, Precision, Recall, IS, bits/dimension |
What metrics were used to measure the Projected-GAN (DINOv2) model in the Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models paper on the FFHQ 256 x 256 dataset? | FID, FD, Precision, Recall, IS, bits/dimension |
What metrics were used to measure the Very Deep VAE model in the Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images paper on the FFHQ 256 x 256 dataset? | FID, FD, Precision, Recall, IS, bits/dimension |
What metrics were used to measure the NVAE w/ flow model in the NVAE: A Deep Hierarchical Variational Autoencoder paper on the FFHQ 256 x 256 dataset? | FID, FD, Precision, Recall, IS, bits/dimension |
What metrics were used to measure the StyleGAN-XL model in the StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets paper on the Pokemon 1024x1024 dataset? | FID |
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