prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
|---|---|
What metrics were used to measure the Projected GAN model in the Projected GANs Converge Faster paper on the Pokemon 1024x1024 dataset? | FID |
What metrics were used to measure the FastGAN model in the Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis paper on the Pokemon 1024x1024 dataset? | FID |
What metrics were used to measure the CIPS model in the Image Generators with Conditionally-Independent Pixel Synthesis paper on the Satellite-Landscapes 256 x 256 dataset? | FID |
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 Car 512 x 384 dataset? | FID |
What metrics were used to measure the StyleGAN2 model in the Analyzing and Improving the Image Quality of StyleGAN paper on the LSUN Car 512 x 384 dataset? | FID |
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 - 5 labeled data per class dataset? | FID-50k, sFID, IS, Precision, Recall |
What metrics were used to measure the Projected GANs model in the Projected GANs Converge Faster paper on the Stanford Cars 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 Cars 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 Cars 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 Cars dataset? | FID, Inception score |
What metrics were used to measure the StyleGAN model in the A Style-Based Generator Architecture for Generative Adversarial Networks paper on the LSUN Bedroom dataset? | FID-50k |
What metrics were used to measure the Denoising Diffusion Probabilistic Model model in the Denoising Diffusion Probabilistic Models paper on the LSUN Bedroom dataset? | FID-50k |
What metrics were used to measure the FInCFlow model in the FInC Flow: Fast and Invertible $k \times k$ Convolutions for Normalizing Flows paper on the CelebA dataset? | bpd (8-bits) |
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 512x512 dataset? | FID, Inception score |
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 512x512 dataset? | FID, Inception score |
What metrics were used to measure the StyleGAN-XL model in the StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets paper on the ImageNet 512x512 dataset? | FID, Inception score |
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 512x512 dataset? | FID, Inception score |
What metrics were used to measure the DiffiT model in the paper on the ImageNet 512x512 dataset? | FID, Inception score |
What metrics were used to measure the DiT-XL/2 model in the Scalable Diffusion Models with Transformers paper on the ImageNet 512x512 dataset? | FID, Inception score |
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 512x512 dataset? | FID, Inception score |
What metrics were used to measure the DPC-U model in the Discrete Predictor-Corrector Diffusion Models for Image Synthesis paper on the ImageNet 512x512 dataset? | FID, Inception score |
What metrics were used to measure the Latent Diffusion (LDM-4-G) model in the High-Resolution Image Synthesis with Latent Diffusion Models paper on the ImageNet 512x512 dataset? | FID, Inception score |
What metrics were used to measure the Poly-INR model in the Polynomial Implicit Neural Representations For Large Diverse Datasets paper on the ImageNet 512x512 dataset? | FID, Inception score |
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 512x512 dataset? | FID, Inception score |
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 512x512 dataset? | FID, Inception score |
What metrics were used to measure the MaskGIT (a=0.05) model in the MaskGIT: Masked Generative Image Transformer paper on the ImageNet 512x512 dataset? | FID, Inception score |
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 512x512 dataset? | FID, Inception score |
What metrics were used to measure the MaskGIT model in the MaskGIT: Masked Generative Image Transformer paper on the ImageNet 512x512 dataset? | FID, Inception score |
What metrics were used to measure the ADM-G model in the Diffusion Models Beat GANs on Image Synthesis paper on the ImageNet 512x512 dataset? | FID, Inception score |
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 GQN dataset? | FID |
What metrics were used to measure the cDR-RS model in the Efficient Subsampling of Realistic Images From GANs Conditional on a Class or a Continuous Variable paper on the RC-49 dataset? | Intra-FID |
What metrics were used to measure the CcGAN (SVDL+ILI) model in the Continuous Conditional Generative Adversarial Networks: Novel Empirical Losses and Label Input Mechanisms paper on the RC-49 dataset? | Intra-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 Indian Celebs 256 x 256 dataset? | FID |
What metrics were used to measure the StyleGAN2 + DA + RLC (Ours) model in the Regularizing Generative Adversarial Networks under Limited Data paper on the CAT 256x256 dataset? | FID |
What metrics were used to measure the RaSGAN model in the The relativistic discriminator: a key element missing from standard GAN paper on the CAT 256x256 dataset? | FID |
What metrics were used to measure the WGAN-GP model in the Improved Training of Wasserstein GANs paper on the CAT 256x256 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 FFHQ 128 x 128 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 128 x 128 dataset? | FID |
What metrics were used to measure the GAUDI model in the GAUDI: A Neural Architect for Immersive 3D Scene Generation paper on the ARKitScenes 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 ARKitScenes 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 ARKitScenes 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 ARKitScenes dataset? | FID, FID (SwAV) |
What metrics were used to measure the Projected GAN model in the Projected GANs Converge Faster paper on the ADE-Indoor dataset? | FID |
What metrics were used to measure the FastGAN model in the Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis paper on the ADE-Indoor dataset? | FID |
What metrics were used to measure the SB-GAN model in the Semantic Bottleneck Scene Generation paper on the ADE-Indoor dataset? | FID |
What metrics were used to measure the Projected GAN model in the Projected GANs Converge Faster paper on the AFHQ Dog dataset? | FID, clean-FID, clean-KID, MAE Signature, MAE log-signature, RMSE Signature, RMSE log-signature |
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 Dog dataset? | FID, clean-FID, clean-KID, 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 Dog dataset? | FID, clean-FID, clean-KID, 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 Dog dataset? | FID, clean-FID, clean-KID, 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 Dog dataset? | FID, clean-FID, clean-KID, MAE Signature, MAE log-signature, RMSE Signature, RMSE log-signature |
What metrics were used to measure the Polarity-StyleGAN3 model in the Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular Values paper on the AFHQV2 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 AFHQV2 dataset? | FID, EQ-T, EQ-R |
What metrics were used to measure the Alias-Free-R model in the Alias-Free Generative Adversarial Networks paper on the AFHQV2 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 AFHQV2 dataset? | FID, EQ-T, EQ-R |
What metrics were used to measure the GENIE (NFEs=15) model in the GENIE: Higher-Order Denoising Diffusion Solvers paper on the AFHQV2 dataset? | FID, EQ-T, EQ-R |
What metrics were used to measure the GENIE (NFEs=10) model in the GENIE: Higher-Order Denoising Diffusion Solvers paper on the AFHQV2 dataset? | FID, EQ-T, EQ-R |
What metrics were used to measure the GENIE (NFEs=5) model in the GENIE: Higher-Order Denoising Diffusion Solvers paper on the AFHQV2 dataset? | FID, EQ-T, EQ-R |
What metrics were used to measure the QSNGAN model in the Quaternion Generative Adversarial Networks paper on the Oxford 102 Flowers 128x128 dataset? | FID, IS |
What metrics were used to measure the DiffAugment-StyleGAN2 model in the Differentiable Augmentation for Data-Efficient GAN Training paper on the CIFAR-10 (10% data) dataset? | FID |
What metrics were used to measure the DiffAugment-CR-BigGAN model in the Differentiable Augmentation for Data-Efficient GAN Training paper on the CIFAR-10 (10% data) dataset? | FID |
What metrics were used to measure the DiffAugment-BigGAN model in the Differentiable Augmentation for Data-Efficient GAN Training paper on the CIFAR-10 (10% data) dataset? | FID |
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 512x512 dataset? | FID, NFE, Recall |
What metrics were used to measure the GAUDI model in the GAUDI: A Neural Architect for Immersive 3D Scene Generation paper on the VLN-CE 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 VLN-CE 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 VLN-CE 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 VLN-CE dataset? | FID, FID (SwAV) |
What metrics were used to measure the StyleGAN-XL model in the StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets paper on the Pokemon 256x256 dataset? | FID |
What metrics were used to measure the Projected GAN model in the Projected GANs Converge Faster paper on the Pokemon 256x256 dataset? | FID |
What metrics were used to measure the StyleGAN2-ADA model in the Training Generative Adversarial Networks with Limited Data paper on the Pokemon 256x256 dataset? | FID |
What metrics were used to measure the FastGAN model in the Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis paper on the Pokemon 256x256 dataset? | FID |
What metrics were used to measure the Diffusion ProjectedGAN model in the Diffusion-GAN: Training GANs with Diffusion 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 Projected GAN model in the Projected GANs Converge Faster 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 TDPM+ (TTrunc=99) model in the Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-Encoders 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 ADM (dropout) model in the Diffusion Models Beat GANs on Image Synthesis 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 StyleGAN model in the Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models 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 Patch Diffusion model in the Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models 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 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 Bedroom 256 x 256 dataset? | FID, FD, Precision, Recall, FID-10k-training-steps, NFE |
What metrics were used to measure the Diffusion StyleGAN2 model in the Diffusion-GAN: Training GANs with Diffusion 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 iDDPM model in the Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models 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 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 LSUN Bedroom 256 x 256 dataset? | FID, FD, Precision, Recall, FID-10k-training-steps, NFE |
What metrics were used to measure the Denoising Diffusion Probabilistic Model (large) model in the Denoising Diffusion Probabilistic Models 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 LFM model in the Flow Matching in Latent Space 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 PNDM model in the Pseudo Numerical Methods for Diffusion Models on Manifolds 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 Denoising Diffusion Probabilistic Model model in the Denoising Diffusion Probabilistic Models 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 PG-SWGAN model in the Sliced Wasserstein Generative Models 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 Consistency model in the Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models 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 PGGAN model in the Progressive Growing of GANs for Improved Quality, Stability, and Variation 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 SS-GAN (sBN) model in the Self-Supervised GANs via Auxiliary Rotation Loss 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 StackGAN-v2 model in the StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks 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 ADM (dropout, DINOv2) model in the Diffusion Models Beat GANs on Image Synthesis 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 iDDPM (DINOv2) model in the Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models 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 Denoising Diffusion Probabilistic Model (large, DINOv2) model in the Denoising Diffusion Probabilistic Models 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 StyleGAN (DINOv2) model in the Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models 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 Consistency (DINOv2) model in the Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models 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 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 LSUN Bedroom 256 x 256 dataset? | FID, FD, Precision, Recall, FID-10k-training-steps, NFE |
What metrics were used to measure the Diffusion ProjectedGAN (DINOv2) model in the Diffusion-GAN: Training GANs with Diffusion 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 Projected GAN (DINOv2) model in the Projected GANs Converge Faster 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 GANformer 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 StyleGAN2 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 GAN model in the Generative Adversarial Transformers paper on the LSUN Bedroom 256 x 256 dataset? | FID, FD, Precision, Recall, FID-10k-training-steps, NFE |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.