prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the SAGAN model in the Generative Adversarial Transformers paper on the LSUN Bedroom 256 x 256 dataset? | FID, FD, Precision, Recall, FID-10k-training-steps, NFE |
What metrics were used to measure the VQGAN model in the Generative Adversarial Transformers paper on the LSUN Bedroom 256 x 256 dataset? | FID, FD, Precision, Recall, FID-10k-training-steps, NFE |
What metrics were used to measure the Alias-Free-R model in the Alias-Free Generative Adversarial Networks paper on the FFHQ-U dataset? | FID, EQ-T, EQ-R |
What metrics were used to measure the Alias-Free-T model in the Alias-Free Generative Adversarial Networks paper on the FFHQ-U dataset? | FID, EQ-T, EQ-R |
What metrics were used to measure the StyleGAN2 (70000 img, 1024^2,
train from scratch) model in the Alias-Free Generative Adversarial Networks paper on the FFHQ-U dataset? | FID, EQ-T, EQ-R |
What metrics were used to measure the StyleGAN2 + Rotation equiv. (Alias-Free-R) model in the Alias-Free Generative Adversarial Networks paper on the FFHQ-U dataset? | FID, EQ-T, EQ-R |
What metrics were used to measure the StyleGAN2 + No noise inputs model in the Alias-Free Generative Adversarial Networks paper on the FFHQ-U dataset? | FID, EQ-T, EQ-R |
What metrics were used to measure the StyleGAN2 + Flexible layers (Alias-Free-T) model in the Alias-Free Generative Adversarial Networks paper on the FFHQ-U dataset? | FID, EQ-T, EQ-R |
What metrics were used to measure the StyleGAN2 + Transformed Fourier features model in the Alias-Free Generative Adversarial Networks paper on the FFHQ-U dataset? | FID, EQ-T, EQ-R |
What metrics were used to measure the StyleGAN2 + Non-critical sampling model in the Alias-Free Generative Adversarial Networks paper on the FFHQ-U dataset? | FID, EQ-T, EQ-R |
What metrics were used to measure the StyleGAN2 + Fourier features model in the Alias-Free Generative Adversarial Networks paper on the FFHQ-U dataset? | FID, EQ-T, EQ-R |
What metrics were used to measure the StyleGAN2 model in the Alias-Free Generative Adversarial Networks paper on the FFHQ-U dataset? | FID, EQ-T, EQ-R |
What metrics were used to measure the StyleGAN2 + Simplified generator model in the Alias-Free Generative Adversarial Networks paper on the FFHQ-U dataset? | FID, EQ-T, EQ-R |
What metrics were used to measure the StyleGAN2 + Boundaries & upsampling model in the Alias-Free Generative Adversarial Networks paper on the FFHQ-U dataset? | FID, EQ-T, EQ-R |
What metrics were used to measure the StyleGAN2 + Filtered nonlinearities model in the Alias-Free Generative Adversarial Networks paper on the FFHQ-U dataset? | FID, EQ-T, EQ-R |
What metrics were used to measure the StyleGAN-XL model in the StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets paper on the ImageNet 32x32 dataset? | FID, bpd, Inception score |
What metrics were used to measure the DDPM-IP model in the Input Perturbation Reduces Exposure Bias in Diffusion Models paper on the ImageNet 32x32 dataset? | FID, bpd, Inception score |
What metrics were used to measure the DDPM++ (VP, NLL) + ST model in the Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation paper on the ImageNet 32x32 dataset? | FID, bpd, Inception score |
What metrics were used to measure the MSGAN model in the Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game paper on the ImageNet 32x32 dataset? | FID, bpd, Inception score |
What metrics were used to measure the DenseFlow-74-10 model in the Densely connected normalizing flows paper on the ImageNet 32x32 dataset? | FID, bpd, Inception score |
What metrics were used to measure the VDM model in the Variational Diffusion Models paper on the ImageNet 32x32 dataset? | FID, bpd, Inception score |
What metrics were used to measure the Hourglass model in the Hierarchical Transformers Are More Efficient Language Models paper on the ImageNet 32x32 dataset? | FID, bpd, Inception score |
What metrics were used to measure the Reflected Diffusion model in the Reflected Diffusion Models paper on the ImageNet 32x32 dataset? | FID, bpd, Inception score |
What metrics were used to measure the ScoreFlow model in the Maximum Likelihood Training of Score-Based Diffusion Models paper on the ImageNet 32x32 dataset? | FID, bpd, Inception score |
What metrics were used to measure the Image Transformer model in the Image Transformer paper on the ImageNet 32x32 dataset? | FID, bpd, Inception score |
What metrics were used to measure the δ-VAE model in the Preventing Posterior Collapse with delta-VAEs paper on the ImageNet 32x32 dataset? | FID, bpd, Inception score |
What metrics were used to measure the MRCNF model in the Multi-Resolution Continuous Normalizing Flows paper on the ImageNet 32x32 dataset? | FID, bpd, Inception score |
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 ImageNet 32x32 dataset? | FID, bpd, Inception score |
What metrics were used to measure the Gated PixelCNN model in the Conditional Image Generation with PixelCNN Decoders paper on the ImageNet 32x32 dataset? | FID, bpd, Inception score |
What metrics were used to measure the SPN Menick and Kalchbrenner (2019) model in the Generating High Fidelity Images with Subscale Pixel Networks and Multidimensional Upscaling paper on the ImageNet 32x32 dataset? | FID, bpd, Inception score |
What metrics were used to measure the Flow++ model in the Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design paper on the ImageNet 32x32 dataset? | FID, bpd, Inception score |
What metrics were used to measure the PixelRNN model in the Pixel Recurrent Neural Networks paper on the ImageNet 32x32 dataset? | FID, bpd, Inception score |
What metrics were used to measure the NVAE w/ flow model in the NVAE: A Deep Hierarchical Variational Autoencoder paper on the ImageNet 32x32 dataset? | FID, bpd, Inception score |
What metrics were used to measure the ANF Huang et al. (2020) model in the Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models paper on the ImageNet 32x32 dataset? | FID, bpd, Inception score |
What metrics were used to measure the BIVA Maaloe et al. (2019) model in the BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling paper on the ImageNet 32x32 dataset? | FID, bpd, Inception score |
What metrics were used to measure the Residual Flow model in the Residual Flows for Invertible Generative Modeling paper on the ImageNet 32x32 dataset? | FID, bpd, Inception score |
What metrics were used to measure the MintNet model in the MintNet: Building Invertible Neural Networks with Masked Convolutions paper on the ImageNet 32x32 dataset? | FID, bpd, Inception score |
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 ImageNet 32x32 dataset? | FID, bpd, Inception score |
What metrics were used to measure the Real NVP (Dinh et al., 2017) model in the Density estimation using Real NVP paper on the ImageNet 32x32 dataset? | FID, bpd, Inception score |
What metrics were used to measure the LeCAM (StyleGAN2 + ADA) model in the Regularizing Generative Adversarial Networks under Limited Data paper on the CIFAR-100 dataset? | FID, Inception Score |
What metrics were used to measure the TAC-GAN model in the Twin Auxilary Classifiers GAN paper on the CIFAR-100 dataset? | FID, Inception Score |
What metrics were used to measure the LeCAM (BigGAN + DA) model in the Regularizing Generative Adversarial Networks under Limited Data paper on the CIFAR-100 dataset? | FID, Inception Score |
What metrics were used to measure the aw-AutoGAN model in the Adaptive Weighted Discriminator for Training Generative Adversarial Networks paper on the CIFAR-100 dataset? | FID, Inception Score |
What metrics were used to measure the aw-SN-GAN model in the Adaptive Weighted Discriminator for Training Generative Adversarial Networks paper on the CIFAR-100 dataset? | FID, Inception Score |
What metrics were used to measure the model in the Negative Data Augmentation paper on the CIFAR-100 dataset? | FID, Inception Score |
What metrics were used to measure the MSGAN model in the Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game paper on the CIFAR-100 dataset? | FID, Inception Score |
What metrics were used to measure the StyleGAN2 model in the Analyzing and Improving the Image Quality of StyleGAN paper on the LSUN Car 256 x 256 dataset? | FID |
What metrics were used to measure the Locally Masked PixelCNN (8 orders) model in the Locally Masked Convolution for Autoregressive Models paper on the MNIST dataset? | bits/dimension, FID, Precision, Recall |
What metrics were used to measure the Residual Flow model in the Residual Flows for Invertible Generative Modeling paper on the MNIST dataset? | bits/dimension, FID, Precision, Recall |
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 MNIST dataset? | bits/dimension, FID, Precision, Recall |
What metrics were used to measure the MintNet model in the MintNet: Building Invertible Neural Networks with Masked Convolutions paper on the MNIST dataset? | bits/dimension, FID, Precision, Recall |
What metrics were used to measure the i-ResNet model in the Invertible Residual Networks paper on the MNIST dataset? | bits/dimension, FID, Precision, Recall |
What metrics were used to measure the Sliced Iterative Generator model in the Sliced Iterative Normalizing Flows paper on the MNIST dataset? | bits/dimension, FID, Precision, Recall |
What metrics were used to measure the PR-GLOW- Recall model in the Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows paper on the MNIST dataset? | bits/dimension, FID, Precision, Recall |
What metrics were used to measure the GLF+perceptual loss (ours) model in the Generative Latent Flow paper on the MNIST dataset? | bits/dimension, FID, Precision, Recall |
What metrics were used to measure the HypGAN model in the Hyperbolic Generative Adversarial Network paper on the MNIST dataset? | bits/dimension, FID, Precision, Recall |
What metrics were used to measure the JKO-iFlow model in the Normalizing flow neural networks by JKO scheme paper on the MNIST dataset? | bits/dimension, FID, Precision, Recall |
What metrics were used to measure the PR-GLOW- Precision model in the Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows paper on the MNIST dataset? | bits/dimension, FID, Precision, Recall |
What metrics were used to measure the Spiking-Diffusion model in the Spiking-Diffusion: Vector Quantized Discrete Diffusion Model with Spiking Neural Networks paper on the MNIST dataset? | bits/dimension, FID, Precision, Recall |
What metrics were used to measure the Feature Alignment model in the Feature Alignment as a Generative Process paper on the MNIST dataset? | bits/dimension, FID, Precision, Recall |
What metrics were used to measure the PresGAN model in the Prescribed Generative Adversarial Networks paper on the MNIST dataset? | bits/dimension, FID, Precision, Recall |
What metrics were used to measure the Projected GAN model in the Projected GANs Converge Faster paper on the LSUN Churches 256 x 256 dataset? | FID, Clean-FID (trainfull), NFE, Recall |
What metrics were used to measure the Vision-aided GAN model in the Ensembling Off-the-shelf Models for GAN Training paper on the LSUN Churches 256 x 256 dataset? | FID, Clean-FID (trainfull), NFE, Recall |
What metrics were used to measure the Diffusion ProjectedGAN model in the Diffusion-GAN: Training GANs with Diffusion paper on the LSUN Churches 256 x 256 dataset? | FID, Clean-FID (trainfull), NFE, Recall |
What metrics were used to measure the Patch Diffusion model in the Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models paper on the LSUN Churches 256 x 256 dataset? | FID, Clean-FID (trainfull), NFE, Recall |
What metrics were used to measure the CIPS model in the Image Generators with Conditionally-Independent Pixel Synthesis paper on the LSUN Churches 256 x 256 dataset? | FID, Clean-FID (trainfull), NFE, Recall |
What metrics were used to measure the StyleSwin model in the StyleSwin: Transformer-based GAN for High-resolution Image Generation paper on the LSUN Churches 256 x 256 dataset? | FID, Clean-FID (trainfull), NFE, Recall |
What metrics were used to measure the Diffusion StyleGAN2 model in the Diffusion-GAN: Training GANs with Diffusion paper on the LSUN Churches 256 x 256 dataset? | FID, Clean-FID (trainfull), NFE, Recall |
What metrics were used to measure the StyleNAT model in the StyleNAT: Giving Each Head a New Perspective paper on the LSUN Churches 256 x 256 dataset? | FID, Clean-FID (trainfull), NFE, Recall |
What metrics were used to measure the StyleGAN2 model in the Analyzing and Improving the Image Quality of StyleGAN paper on the LSUN Churches 256 x 256 dataset? | FID, Clean-FID (trainfull), NFE, Recall |
What metrics were used to measure the Polarity-StyleGAN2 model in the Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular Values paper on the LSUN Churches 256 x 256 dataset? | FID, Clean-FID (trainfull), NFE, Recall |
What metrics were used to measure the TDPM+ (TTrunc=99) model in the Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-Encoders paper on the LSUN Churches 256 x 256 dataset? | FID, Clean-FID (trainfull), NFE, Recall |
What metrics were used to measure the INR-GAN-bil model in the Adversarial Generation of Continuous Images paper on the LSUN Churches 256 x 256 dataset? | FID, Clean-FID (trainfull), NFE, Recall |
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 LSUN Churches 256 x 256 dataset? | FID, Clean-FID (trainfull), NFE, Recall |
What metrics were used to measure the StyleGAN model in the A Style-Based Generator Architecture for Generative Adversarial Networks paper on the LSUN Churches 256 x 256 dataset? | FID, Clean-FID (trainfull), NFE, Recall |
What metrics were used to measure the SWAGAN-Bi model in the SWAGAN: A Style-based Wavelet-driven Generative Model paper on the LSUN Churches 256 x 256 dataset? | FID, Clean-FID (trainfull), NFE, Recall |
What metrics were used to measure the WaveDiff model in the Wavelet Diffusion Models are fast and scalable Image Generators paper on the LSUN Churches 256 x 256 dataset? | FID, Clean-FID (trainfull), NFE, Recall |
What metrics were used to measure the MSG-StyleGAN model in the MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks paper on the LSUN Churches 256 x 256 dataset? | FID, Clean-FID (trainfull), NFE, Recall |
What metrics were used to measure the DDGAN model in the Tackling the Generative Learning Trilemma with Denoising Diffusion GANs paper on the LSUN Churches 256 x 256 dataset? | FID, Clean-FID (trainfull), NFE, Recall |
What metrics were used to measure the LFM model in the Flow Matching in Latent Space paper on the LSUN Churches 256 x 256 dataset? | FID, Clean-FID (trainfull), NFE, Recall |
What metrics were used to measure the PGGAN model in the Progressive Growing of GANs for Improved Quality, Stability, and Variation paper on the LSUN Churches 256 x 256 dataset? | FID, Clean-FID (trainfull), NFE, Recall |
What metrics were used to measure the Denoising Diffusion Probabilistic Model model in the Denoising Diffusion Probabilistic Models paper on the LSUN Churches 256 x 256 dataset? | FID, Clean-FID (trainfull), NFE, Recall |
What metrics were used to measure the PNDM model in the Pseudo Numerical Methods for Diffusion Models on Manifolds paper on the LSUN Churches 256 x 256 dataset? | FID, Clean-FID (trainfull), NFE, Recall |
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 LSUN Churches 256 x 256 dataset? | FID, Clean-FID (trainfull), NFE, Recall |
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 LSUN Churches 256 x 256 dataset? | FID, Clean-FID (trainfull), NFE, Recall |
What metrics were used to measure the Alias-Free-R model in the Alias-Free Generative Adversarial Networks paper on the MetFaces-U dataset? | FID, EQ-T, EQ-R |
What metrics were used to measure the Alias-Free-T model in the Alias-Free Generative Adversarial Networks paper on the MetFaces-U dataset? | FID, EQ-T, EQ-R |
What metrics were used to measure the StyleGAN2 model in the Alias-Free Generative Adversarial Networks paper on the MetFaces-U dataset? | FID, EQ-T, EQ-R |
What metrics were used to measure the Diffusion ProjectedGAN model in the Diffusion-GAN: Training GANs with Diffusion paper on the STL-10 dataset? | FID, Inception score, NFE, Recall |
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 STL-10 dataset? | FID, Inception score, NFE, Recall |
What metrics were used to measure the Diffusion StyleGAN2 model in the Diffusion-GAN: Training GANs with Diffusion paper on the STL-10 dataset? | FID, Inception score, NFE, Recall |
What metrics were used to measure the WaveDiff model in the Wavelet Diffusion Models are fast and scalable Image Generators paper on the STL-10 dataset? | FID, Inception score, NFE, Recall |
What metrics were used to measure the Styleformer model in the Styleformer: Transformer based Generative Adversarial Networks with Style Vector paper on the STL-10 dataset? | FID, Inception score, NFE, Recall |
What metrics were used to measure the SNGAN-DCD (Latent) model in the Discriminator Contrastive Divergence: Semi-Amortized Generative Modeling by Exploring Energy of the Discriminator paper on the STL-10 dataset? | FID, Inception score, NFE, Recall |
What metrics were used to measure the TransGAN model in the TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up paper on the STL-10 dataset? | FID, Inception score, NFE, Recall |
What metrics were used to measure the PGMGAN model in the Partition-Guided GANs paper on the STL-10 dataset? | FID, Inception score, NFE, Recall |
What metrics were used to measure the EAGAN (G+D) model in the EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANs paper on the STL-10 dataset? | FID, Inception score, NFE, Recall |
What metrics were used to measure the SNGAN-DCD (Pixel) model in the Discriminator Contrastive Divergence: Semi-Amortized Generative Modeling by Exploring Energy of the Discriminator paper on the STL-10 dataset? | FID, Inception score, NFE, Recall |
What metrics were used to measure the EAGAN (G) model in the EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANs paper on the STL-10 dataset? | FID, Inception score, NFE, Recall |
What metrics were used to measure the E2GAN model in the Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search paper on the STL-10 dataset? | FID, Inception score, NFE, Recall |
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