prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the ADM (dropout) model in the Diffusion Models Beat GANs on Image Synthesis paper on the LSUN Cat 256 x 256 dataset? | FID, Clean-FID (trainfull) |
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 Cat 256 x 256 dataset? | FID, Clean-FID (trainfull) |
What metrics were used to measure the StyleGAN2 model in the Analyzing and Improving the Image Quality of StyleGAN paper on the LSUN Cat 256 x 256 dataset? | FID, Clean-FID (trainfull) |
What metrics were used to measure the Denoising Diffusion Probabilistic Model model in the Denoising Diffusion Probabilistic Models paper on the LSUN Cat 256 x 256 dataset? | FID, Clean-FID (trainfull) |
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 Cat 256 x 256 dataset? | FID, Clean-FID (trainfull) |
What metrics were used to measure the StyleGAN model in the A Style-Based Generator Architecture for Generative Adversarial Networks paper on the LSUN Cat 256 x 256 dataset? | FID, Clean-FID (trainfull) |
What metrics were used to measure the DDPM-IP model in the Input Perturbation Reduces Exposure Bias in Diffusion Models paper on the CelebA 64x64 dataset? | FID, bits/dimension, Precision, Recall |
What metrics were used to measure the STDDPM-G++ model in the Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models paper on the CelebA 64x64 dataset? | FID, bits/dimension, Precision, Recall |
What metrics were used to measure the Diffusion StyleGAN2 model in the Diffusion-GAN: Training GANs with Diffusion paper on the CelebA 64x64 dataset? | FID, bits/dimension, Precision, Recall |
What metrics were used to measure the INDM (VP, FID) model in the Maximum Likelihood Training of Implicit Nonlinear Diffusion Models paper on the CelebA 64x64 dataset? | FID, bits/dimension, Precision, 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 CelebA 64x64 dataset? | FID, bits/dimension, Precision, Recall |
What metrics were used to measure the Soft Diffusion (Blur + Noise) model in the Soft Diffusion: Score Matching for General Corruptions paper on the CelebA 64x64 dataset? | FID, bits/dimension, Precision, Recall |
What metrics were used to measure the DDPM++ (VP, FID) + ST model in the Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation paper on the CelebA 64x64 dataset? | FID, bits/dimension, Precision, Recall |
What metrics were used to measure the SciRE-Solver model in the SciRE-Solver: Accelerating Diffusion Models Sampling by Score-integrand Solver with Recursive Difference paper on the CelebA 64x64 dataset? | FID, bits/dimension, Precision, Recall |
What metrics were used to measure the INDM (VE, FID) model in the Maximum Likelihood Training of Implicit Nonlinear Diffusion Models paper on the CelebA 64x64 dataset? | FID, bits/dimension, Precision, Recall |
What metrics were used to measure the PNDM model in the Pseudo Numerical Methods for Diffusion Models on Manifolds paper on the CelebA 64x64 dataset? | FID, bits/dimension, Precision, Recall |
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 CelebA 64x64 dataset? | FID, bits/dimension, Precision, Recall |
What metrics were used to measure the Blackout Diffusion model in the Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces paper on the CelebA 64x64 dataset? | FID, bits/dimension, Precision, Recall |
What metrics were used to measure the BigGAN-OBRS model in the Optimal Budgeted Rejection Sampling for Generative Models paper on the CelebA 64x64 dataset? | FID, bits/dimension, Precision, Recall |
What metrics were used to measure the DiffuseVAE model in the DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents paper on the CelebA 64x64 dataset? | FID, bits/dimension, Precision, Recall |
What metrics were used to measure the NCP-VAE model in the A Contrastive Learning Approach for Training Variational Autoencoder Priors paper on the CelebA 64x64 dataset? | FID, bits/dimension, Precision, Recall |
What metrics were used to measure the C^3G-NeRF model in the Class-Continuous Conditional Generative Neural Radiance Field paper on the CelebA 64x64 dataset? | FID, bits/dimension, Precision, Recall |
What metrics were used to measure the EBM-DRL (T6) model in the Learning Energy-Based Models by Diffusion Recovery Likelihood paper on the CelebA 64x64 dataset? | FID, bits/dimension, Precision, Recall |
What metrics were used to measure the PR-BigGAN - Recall model in the Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows paper on the CelebA 64x64 dataset? | FID, bits/dimension, Precision, Recall |
What metrics were used to measure the HDCGAN model in the High-Resolution Deep Convolutional Generative Adversarial Networks paper on the CelebA 64x64 dataset? | FID, bits/dimension, Precision, Recall |
What metrics were used to measure the FCE model in the Flow Contrastive Estimation of Energy-Based Models paper on the CelebA 64x64 dataset? | FID, bits/dimension, Precision, Recall |
What metrics were used to measure the TransGAN-XL model in the TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up paper on the CelebA 64x64 dataset? | FID, bits/dimension, Precision, Recall |
What metrics were used to measure the PeerGAN model in the DuelGAN: A Duel Between Two Discriminators Stabilizes the GAN Training paper on the CelebA 64x64 dataset? | FID, bits/dimension, Precision, Recall |
What metrics were used to measure the PR-BigGAN - Precision model in the Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows paper on the CelebA 64x64 dataset? | FID, bits/dimension, Precision, Recall |
What metrics were used to measure the BEGAN-CS model in the Escaping from Collapsing Modes in a Constrained Space paper on the CelebA 64x64 dataset? | FID, bits/dimension, Precision, Recall |
What metrics were used to measure the PAE model in the Probabilistic Autoencoder paper on the CelebA 64x64 dataset? | FID, bits/dimension, Precision, Recall |
What metrics were used to measure the Feature Alignment model in the Feature Alignment as a Generative Process paper on the CelebA 64x64 dataset? | FID, bits/dimension, Precision, Recall |
What metrics were used to measure the Efficient-VDVAE model in the Efficient-VDVAE: Less is more paper on the CelebA 64x64 dataset? | FID, bits/dimension, Precision, Recall |
What metrics were used to measure the CR-NVAE model in the Consistency Regularization for Variational Auto-Encoders paper on the CelebA 64x64 dataset? | FID, bits/dimension, Precision, 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 CelebA 64x64 dataset? | FID, bits/dimension, Precision, Recall |
What metrics were used to measure the DenseFlow-74-10 model in the Densely connected normalizing flows paper on the CelebA 64x64 dataset? | FID, bits/dimension, Precision, 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 AFHQ Wild dataset? | clean-KID, clean-FID, FID, MAE Signature, MAE log-signature, RMSE Signature, RMSE log-signature |
What metrics were used to measure the StyleGAN2-ADA model in the Training Generative Adversarial Networks with Limited Data paper on the AFHQ Wild dataset? | clean-KID, clean-FID, FID, MAE Signature, MAE log-signature, RMSE Signature, RMSE log-signature |
What metrics were used to measure the Diffusion InsGen model in the Diffusion-GAN: Training GANs with Diffusion paper on the AFHQ Wild dataset? | clean-KID, clean-FID, FID, MAE Signature, MAE log-signature, RMSE Signature, RMSE log-signature |
What metrics were used to measure the Projected GAN model in the Projected GANs Converge Faster paper on the AFHQ Wild dataset? | clean-KID, clean-FID, FID, MAE Signature, MAE log-signature, RMSE Signature, RMSE log-signature |
What metrics were used to measure the Stylegan2-ada (NVIDIA pre-trained) model in the Signature and Log-signature for the Study of Empirical Distributions Generated with GANs paper on the AFHQ Wild dataset? | clean-KID, clean-FID, FID, MAE Signature, MAE log-signature, RMSE Signature, RMSE log-signature |
What metrics were used to measure the StyleGAN-XL model in the StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets paper on the FFHQ 1024 x 1024 dataset? | FID, bits/dimension |
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 FFHQ 1024 x 1024 dataset? | FID, bits/dimension |
What metrics were used to measure the MaGNET-StyleGAN2 model in the MaGNET: Uniform Sampling from Deep Generative Network Manifolds Without Retraining paper on the FFHQ 1024 x 1024 dataset? | FID, bits/dimension |
What metrics were used to measure the StyleGAN3-T model in the Alias-Free Generative Adversarial Networks paper on the FFHQ 1024 x 1024 dataset? | FID, bits/dimension |
What metrics were used to measure the Diffusion StyleGAN2 model in the Diffusion-GAN: Training GANs with Diffusion paper on the FFHQ 1024 x 1024 dataset? | FID, bits/dimension |
What metrics were used to measure the StyleGAN2 model in the Analyzing and Improving the Image Quality of StyleGAN paper on the FFHQ 1024 x 1024 dataset? | FID, bits/dimension |
What metrics were used to measure the StyleGAN3-R model in the Alias-Free Generative Adversarial Networks paper on the FFHQ 1024 x 1024 dataset? | FID, bits/dimension |
What metrics were used to measure the FQ-GAN model in the Feature Quantization Improves GAN Training paper on the FFHQ 1024 x 1024 dataset? | FID, bits/dimension |
What metrics were used to measure the StyleGAN2 ADA+bCR model in the Training Generative Adversarial Networks with Limited Data paper on the FFHQ 1024 x 1024 dataset? | FID, 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 1024 x 1024 dataset? | FID, bits/dimension |
What metrics were used to measure the StyleNAT model in the StyleNAT: Giving Each Head a New Perspective paper on the FFHQ 1024 x 1024 dataset? | FID, bits/dimension |
What metrics were used to measure the StyleGAN model in the A Style-Based Generator Architecture for Generative Adversarial Networks paper on the FFHQ 1024 x 1024 dataset? | FID, 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 1024 x 1024 dataset? | FID, bits/dimension |
What metrics were used to measure the MSG-StyleGAN model in the MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks paper on the FFHQ 1024 x 1024 dataset? | FID, bits/dimension |
What metrics were used to measure the HiT-B model in the Improved Transformer for High-Resolution GANs paper on the FFHQ 1024 x 1024 dataset? | FID, bits/dimension |
What metrics were used to measure the CIPS model in the Image Generators with Conditionally-Independent Pixel Synthesis paper on the FFHQ 1024 x 1024 dataset? | FID, bits/dimension |
What metrics were used to measure the StyleALAE model in the Adversarial Latent Autoencoders paper on the FFHQ 1024 x 1024 dataset? | FID, bits/dimension |
What metrics were used to measure the Efficient-VDVAE model in the Efficient-VDVAE: Less is more paper on the FFHQ 1024 x 1024 dataset? | FID, 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 1024 x 1024 dataset? | FID, bits/dimension |
What metrics were used to measure the AstroDDPM model in the Realistic galaxy image simulation via score-based generative models paper on the SDSS Galaxies dataset? | FID |
What metrics were used to measure the SinDiffusion model in the SinDiffusion: Learning a Diffusion Model from a Single Natural Image paper on the Places50 dataset? | LPIPS, SIFID |
What metrics were used to measure the ConSinGAN model in the SinDiffusion: Learning a Diffusion Model from a Single Natural Image paper on the Places50 dataset? | LPIPS, SIFID |
What metrics were used to measure the SinGan model in the SinDiffusion: Learning a Diffusion Model from a Single Natural Image paper on the Places50 dataset? | LPIPS, SIFID |
What metrics were used to measure the GPNN model in the SinDiffusion: Learning a Diffusion Model from a Single Natural Image paper on the Places50 dataset? | LPIPS, SIFID |
What metrics were used to measure the ExSinGAN model in the SinDiffusion: Learning a Diffusion Model from a Single Natural Image paper on the Places50 dataset? | LPIPS, SIFID |
What metrics were used to measure the StyeGAN2 + NoisyTwins model in the NoisyTwins: Class-Consistent and Diverse Image Generation through StyleGANs paper on the iNaturalist 2019 dataset? | FID |
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 iNaturalist 2019 dataset? | FID |
What metrics were used to measure the Projected GAN model in the Projected GANs Converge Faster paper on the Cityscapes dataset? | FID-10k-training-steps |
What metrics were used to measure the GANformer model in the Generative Adversarial Transformers paper on the Cityscapes dataset? | FID-10k-training-steps |
What metrics were used to measure the StyleGAN2 model in the Generative Adversarial Transformers paper on the Cityscapes dataset? | FID-10k-training-steps |
What metrics were used to measure the GAN model in the Generative Adversarial Transformers paper on the Cityscapes dataset? | FID-10k-training-steps |
What metrics were used to measure the SAGAN model in the Generative Adversarial Transformers paper on the Cityscapes dataset? | FID-10k-training-steps |
What metrics were used to measure the VQGAN model in the Generative Adversarial Transformers paper on the Cityscapes dataset? | FID-10k-training-steps |
What metrics were used to measure the CR-NVAE model in the Consistency Regularization for Variational Auto-Encoders paper on the Binarized MNIST dataset? | nats, bits/dimension |
What metrics were used to measure the Locally Masked PixelCNN (8 orders) model in the Locally Masked Convolution for Autoregressive Models paper on the Binarized MNIST dataset? | nats, bits/dimension |
What metrics were used to measure the BFN model in the Bayesian Flow Networks paper on the Binarized MNIST dataset? | nats, bits/dimension |
What metrics were used to measure the Efficient-VDVAE model in the Efficient-VDVAE: Less is more paper on the Binarized MNIST dataset? | nats, bits/dimension |
What metrics were used to measure the PixelRNN model in the Pixel Recurrent Neural Networks paper on the Binarized MNIST dataset? | nats, bits/dimension |
What metrics were used to measure the PixelCNN model in the Pixel Recurrent Neural Networks paper on the Binarized MNIST dataset? | nats, bits/dimension |
What metrics were used to measure the EoNADE-5 2hl (128 orders) model in the Iterative Neural Autoregressive Distribution Estimator (NADE-k) paper on the Binarized MNIST dataset? | nats, bits/dimension |
What metrics were used to measure the EoNADE 2hl (128 orders) model in the Iterative Neural Autoregressive Distribution Estimator NADE-k paper on the Binarized MNIST dataset? | nats, bits/dimension |
What metrics were used to measure the MADE 2hl (32 orders) model in the MADE: Masked Autoencoder for Distribution Estimation paper on the Binarized MNIST dataset? | nats, bits/dimension |
What metrics were used to measure the NADE model in the A Deep and Tractable Density Estimator paper on the Binarized MNIST dataset? | nats, bits/dimension |
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 - 2 labeled data per class dataset? | FID-50k, sFID, IS, Precision, Recall |
What metrics were used to measure the COCO-GAN model in the COCO-GAN: Generation by Parts via Conditional Coordinating paper on the CelebA-HQ 64x64 dataset? | FID |
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 64x64 dataset? | FID |
What metrics were used to measure the QA-GAN model in the Quality Aware Generative Adversarial Networks paper on the CelebA-HQ 64x64 dataset? | FID |
What metrics were used to measure the t-Stylegan3-ada (NVIDIA pre-trained) model in the Signature and Log-signature for the Study of Empirical Distributions Generated with GANs paper on the MetFaces dataset? | MAE Signature, MAE log-signature, RMSE Signature, RMSE log-signature |
What metrics were used to measure the r-Stylegan3-ada (NVIDIA pre-trained) model in the Signature and Log-signature for the Study of Empirical Distributions Generated with GANs paper on the MetFaces dataset? | MAE Signature, MAE log-signature, RMSE Signature, RMSE log-signature |
What metrics were used to measure the Stylegan2-ada (NVIDIA pre-trained) model in the Signature and Log-signature for the Study of Empirical Distributions Generated with GANs paper on the MetFaces dataset? | MAE Signature, MAE log-signature, RMSE Signature, RMSE log-signature |
What metrics were used to measure the DC-VAE model in the Dual Contradistinctive Generative Autoencoder paper on the LSUN Bedroom 128 x 128 dataset? | FID |
What metrics were used to measure the SB-GAN model in the Semantic Bottleneck Scene Generation paper on the Cityscapes-25K 256x512 dataset? | FID |
What metrics were used to measure the Projected GAN model in the Projected GANs Converge Faster paper on the CUB 128 x 128 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 CUB 128 x 128 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 CUB 128 x 128 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 CUB 128 x 128 dataset? | FID, Inception score |
What metrics were used to measure the GSN model in the Unconstrained Scene Generation with Locally Conditioned Radiance Fields paper on the VizDoom dataset? | FID, SwAV-FID |
What metrics were used to measure the GRAF model in the GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis paper on the VizDoom dataset? | FID, SwAV-FID |
What metrics were used to measure the pi-GAN model in the pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis paper on the VizDoom dataset? | FID, SwAV-FID |
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