prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the aw-AutoGAN model in the Adaptive Weighted Discriminator for Training Generative Adversarial Networks paper on the STL-10 dataset? | FID, Inception score, NFE, Recall |
What metrics were used to measure the DEGAS model in the DEGAS: Differentiable Efficient Generator Search paper on the STL-10 dataset? | FID, Inception score, NFE, Recall |
What metrics were used to measure the AutoGAN model in the AutoGAN: Neural Architecture Search for Generative Adversarial Networks paper on the STL-10 dataset? | FID, Inception score, NFE, Recall |
What metrics were used to measure the aw-SN-GAN model in the Adaptive Weighted Discriminator for Training Generative Adversarial Networks paper on the STL-10 dataset? | FID, Inception score, NFE, Recall |
What metrics were used to measure the Dist-GAN model in the Dist-GAN: An Improved GAN using Distance Constraints paper on the STL-10 dataset? | FID, Inception score, NFE, Recall |
What metrics were used to measure the Improving MMD GAN model in the Improving MMD-GAN Training with Repulsive Loss Function paper on the STL-10 dataset? | FID, Inception score, NFE, Recall |
What metrics were used to measure the SN-GAN model in the Spectral Normalization for Generative Adversarial Networks paper on the STL-10 dataset? | FID, Inception score, NFE, Recall |
What metrics were used to measure the DC-VAE model in the Dual Contradistinctive Generative Autoencoder paper on the STL-10 dataset? | FID, Inception score, NFE, Recall |
What metrics were used to measure the ProbGAN model in the ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees paper on the STL-10 dataset? | FID, Inception score, NFE, 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 STL-10 dataset? | FID, Inception score, NFE, Recall |
What metrics were used to measure the QSNGAN model in the Quaternion Generative Adversarial Networks paper on the STL-10 dataset? | FID, Inception score, NFE, Recall |
What metrics were used to measure the D2GAN model in the Dual Discriminator Generative Adversarial Nets paper on the STL-10 dataset? | FID, Inception score, 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 AFHQ Cat 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 Cat 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 Cat 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 Cat 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 Cat dataset? | clean-KID, clean-FID, FID, MAE Signature, MAE log-signature, RMSE Signature, RMSE log-signature |
What metrics were used to measure the WGAN-GP + TT Update Rule model in the GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium paper on the LSUN Bedroom 64 x 64 dataset? | FID |
What metrics were used to measure the FOGAN model in the First Order Generative Adversarial Networks paper on the LSUN Bedroom 64 x 64 dataset? | FID |
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 Horse 256 x 256 dataset? | FID, Clean-FID (trainfull) |
What metrics were used to measure the Projected GAN model in the Projected GANs Converge Faster paper on the LSUN Horse 256 x 256 dataset? | FID, Clean-FID (trainfull) |
What metrics were used to measure the ADM (dropout) model in the Diffusion Models Beat GANs on Image Synthesis paper on the LSUN Horse 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 Horse 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 Horse 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 Horse 256 x 256 dataset? | FID, Clean-FID (trainfull) |
What metrics were used to measure the pix2pix model in the LLVIP: A Visible-infrared Paired Dataset for Low-light Vision paper on the LLVIP dataset? | PSNR, SSIM |
What metrics were used to measure the LeCAM + DA model in the Regularizing Generative Adversarial Networks under Limited Data paper on the ImageNet - 10% labeled data dataset? | FID, IS |
What metrics were used to measure the GLF+perceptual loss (ours) model in the Generative Latent Flow paper on the Fashion-MNIST dataset? | FID, Precision, Recall |
What metrics were used to measure the Sliced Iterative Generator model in the Sliced Iterative Normalizing Flows paper on the Fashion-MNIST dataset? | FID, 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 Fashion-MNIST dataset? | FID, Precision, Recall |
What metrics were used to measure the PAE model in the Probabilistic Autoencoder paper on the Fashion-MNIST dataset? | 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 Fashion-MNIST dataset? | 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 Fashion-MNIST dataset? | 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 Fashion-MNIST dataset? | FID, Precision, Recall |
What metrics were used to measure the Projected GAN model in the Projected GANs Converge Faster paper on the Oxford 102 Flowers 256 x 256 dataset? | FID |
What metrics were used to measure the MSG-StyleGAN model in the MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks paper on the Oxford 102 Flowers 256 x 256 dataset? | FID |
What metrics were used to measure the DDPM-IP model in the Input Perturbation Reduces Exposure Bias in Diffusion Models paper on the LSUN tower 64x64 dataset? | FID |
What metrics were used to measure the StyleGAN-XL model in the StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets paper on the FFHQ 512 x 512 dataset? | FID |
What metrics were used to measure the Anycost GAN model in the Anycost GANs for Interactive Image Synthesis and Editing paper on the FFHQ 512 x 512 dataset? | FID |
What metrics were used to measure the GENESIS model in the GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations paper on the Multi-dSprites dataset? | FID |
What metrics were used to measure the Stylegan2-ada model in the Signature and Log-signature for the Study of Empirical Distributions Generated with GANs paper on the NASA Perseverance dataset? | MAE Signature, MAE log-signature, RMSE Signature, RMSE log-signature |
What metrics were used to measure the PFGM++ model in the PFGM++: Unlocking the Potential of Physics-Inspired Generative Models paper on the FFHQ 64x64 - 4x upscaling dataset? | FID |
What metrics were used to measure the SB-GAN model in the Semantic Bottleneck Scene Generation paper on the Cityscapes-5K 256x512 dataset? | FID |
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 CelebA 128x128 dataset? | FID, Inception score, MS-SSIM |
What metrics were used to measure the C^3G-NeRF model in the Class-Continuous Conditional Generative Neural Radiance Field paper on the CelebA 128x128 dataset? | FID, Inception score, MS-SSIM |
What metrics were used to measure the DC-VAE model in the Dual Contradistinctive Generative Autoencoder paper on the CelebA 128x128 dataset? | FID, Inception score, MS-SSIM |
What metrics were used to measure the PresGAN model in the Prescribed Generative Adversarial Networks paper on the CelebA 128x128 dataset? | FID, Inception score, MS-SSIM |
What metrics were used to measure the HDCGAN model in the High-Resolution Deep Convolutional Generative Adversarial Networks paper on the CelebA 128x128 dataset? | FID, Inception score, MS-SSIM |
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 1024x1024 dataset? | FID, bits/dimension, NFE |
What metrics were used to measure the StyleGAN model in the A Style-Based Generator Architecture for Generative Adversarial Networks paper on the CelebA-HQ 1024x1024 dataset? | FID, bits/dimension, NFE |
What metrics were used to measure the PG-SWGAN model in the Sliced Wasserstein Generative Models paper on the CelebA-HQ 1024x1024 dataset? | FID, bits/dimension, NFE |
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 1024x1024 dataset? | FID, bits/dimension, NFE |
What metrics were used to measure the MSG-StyleGAN model in the MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks paper on the CelebA-HQ 1024x1024 dataset? | FID, bits/dimension, NFE |
What metrics were used to measure the Polarity-ProGAN model in the Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular Values paper on the CelebA-HQ 1024x1024 dataset? | FID, bits/dimension, NFE |
What metrics were used to measure the PGGAN model in the Progressive Growing of GANs for Improved Quality, Stability, and Variation paper on the CelebA-HQ 1024x1024 dataset? | FID, bits/dimension, NFE |
What metrics were used to measure the HiT-B model in the Improved Transformer for High-Resolution GANs paper on the CelebA-HQ 1024x1024 dataset? | FID, bits/dimension, NFE |
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 1024x1024 dataset? | FID, bits/dimension, NFE |
What metrics were used to measure the Efficient-VDVAE model in the Efficient-VDVAE: Less is more paper on the CelebA-HQ 1024x1024 dataset? | FID, bits/dimension, NFE |
What metrics were used to measure the DiT-XL/2 with CADS model in the CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed Sampling paper on the ImageNet 256x256 dataset? | FID |
What metrics were used to measure the DiffiT model in the paper on the ImageNet 256x256 dataset? | FID |
What metrics were used to measure the MAGVIT-v2 model in the Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation paper on the ImageNet 256x256 dataset? | FID |
What metrics were used to measure the MDT-XL/2 model in the Masked Diffusion Transformer is a Strong Image Synthesizer paper on the ImageNet 256x256 dataset? | FID |
What metrics were used to measure the Discriminator Guidance model in the Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models paper on the ImageNet 256x256 dataset? | 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 ImageNet 256x256 dataset? | FID |
What metrics were used to measure the ViT-XL model in the Efficient Diffusion Training via Min-SNR Weighting Strategy paper on the ImageNet 256x256 dataset? | FID |
What metrics were used to measure the VDM++ model in the Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation paper on the ImageNet 256x256 dataset? | FID |
What metrics were used to measure the StyleSAN-XL model in the SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer paper on the ImageNet 256x256 dataset? | FID |
What metrics were used to measure the DiT-XL/2 model in the Scalable Diffusion Models with Transformers paper on the ImageNet 256x256 dataset? | FID |
What metrics were used to measure the StyleGAN-XL model in the StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets paper on the ImageNet 256x256 dataset? | FID |
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 ImageNet 256x256 dataset? | FID |
What metrics were used to measure the Poly-INR model in the Polynomial Implicit Neural Representations For Large Diverse Datasets paper on the ImageNet 256x256 dataset? | FID |
What metrics were used to measure the ADM-G++ (FID) model in the Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models paper on the ImageNet 256x256 dataset? | FID |
What metrics were used to measure the Contextual RQ-Transformer model in the Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer paper on the ImageNet 256x256 dataset? | FID |
What metrics were used to measure the GigaGAN model in the Scaling up GANs for Text-to-Image Synthesis paper on the ImageNet 256x256 dataset? | FID |
What metrics were used to measure the BIGRoC-gt (Guided-Diffusion) model in the BIGRoC: Boosting Image Generation via a Robust Classifier paper on the ImageNet 256x256 dataset? | FID |
What metrics were used to measure the MAGVIT-v2 (w/o guidance) model in the Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation paper on the ImageNet 256x256 dataset? | FID |
What metrics were used to measure the BIGRoC-pl (Guided-Diffusion) model in the BIGRoC: Boosting Image Generation via a Robust Classifier paper on the ImageNet 256x256 dataset? | FID |
What metrics were used to measure the simple diffusion (U-Net) model in the simple diffusion: End-to-end diffusion for high resolution images paper on the ImageNet 256x256 dataset? | FID |
What metrics were used to measure the simple diffusion (U-ViT, L) model in the simple diffusion: End-to-end diffusion for high resolution images paper on the ImageNet 256x256 dataset? | FID |
What metrics were used to measure the RQ-Transformer model in the Autoregressive Image Generation using Residual Quantization paper on the ImageNet 256x256 dataset? | FID |
What metrics were used to measure the ADM-G, ADM-U model in the Diffusion Models Beat GANs on Image Synthesis paper on the ImageNet 256x256 dataset? | FID |
What metrics were used to measure the ADM-G + EDS (ED-DPM, classifier_scale=0.75) model in the Entropy-driven Sampling and Training Scheme for Conditional Diffusion Generation paper on the ImageNet 256x256 dataset? | FID |
What metrics were used to measure the MaskGIT (a=0.05) model in the MaskGIT: Masked Generative Image Transformer paper on the ImageNet 256x256 dataset? | FID |
What metrics were used to measure the ADM-G + EDS + ECT (ED-DPM, classifier_scale=1.0) model in the Entropy-driven Sampling and Training Scheme for Conditional Diffusion Generation paper on the ImageNet 256x256 dataset? | FID |
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 ImageNet 256x256 dataset? | FID |
What metrics were used to measure the ADM-G++ (Recall) model in the Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models paper on the ImageNet 256x256 dataset? | FID |
What metrics were used to measure the LFM model in the Flow Matching in Latent Space paper on the ImageNet 256x256 dataset? | FID |
What metrics were used to measure the RIN model in the Scalable Adaptive Computation for Iterative Generation paper on the ImageNet 256x256 dataset? | FID |
What metrics were used to measure the ADM-G model in the Diffusion Models Beat GANs on Image Synthesis paper on the ImageNet 256x256 dataset? | FID |
What metrics were used to measure the CDM model in the Cascaded Diffusion Models for High Fidelity Image Generation paper on the ImageNet 256x256 dataset? | FID |
What metrics were used to measure the VQGAN+Transformer (k=600, p=1.0, a=0.05) model in the Taming Transformers for High-Resolution Image Synthesis paper on the ImageNet 256x256 dataset? | FID |
What metrics were used to measure the MaskGIT model in the MaskGIT: Masked Generative Image Transformer paper on the ImageNet 256x256 dataset? | FID |
What metrics were used to measure the VQGAN+Transformer (k=mixed, p=1.0, a=0.005) model in the Taming Transformers for High-Resolution Image Synthesis paper on the ImageNet 256x256 dataset? | FID |
What metrics were used to measure the Polarity-BigGAN model in the Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular Values paper on the ImageNet 256x256 dataset? | FID |
What metrics were used to measure the BigGAN-deep model in the Large Scale GAN Training for High Fidelity Natural Image Synthesis paper on the ImageNet 256x256 dataset? | FID |
What metrics were used to measure the ADM model in the Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models paper on the ImageNet 256x256 dataset? | FID |
What metrics were used to measure the Improved DDPM model in the Improved Denoising Diffusion Probabilistic Models paper on the ImageNet 256x256 dataset? | FID |
What metrics were used to measure the CIPS model in the Image Generators with Conditionally-Independent Pixel Synthesis paper on the Landscapes 256 x 256 dataset? | FID |
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 Cat 256 x 256 dataset? | FID, Clean-FID (trainfull) |
What metrics were used to measure the Projected GAN model in the Projected GANs Converge Faster paper on the LSUN Cat 256 x 256 dataset? | FID, Clean-FID (trainfull) |
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