SOTAVerified

Conditional Image Generation

Conditional image generation is the task of generating new images from a dataset conditional on their class.

( Image credit: PixelCNN++ )

Papers

Showing 51–75 of 286 papers

TitleStatusHype
LaCon: Late-Constraint Diffusion for Steerable Guided Image SynthesisCode1
SparseGNV: Generating Novel Views of Indoor Scenes with Sparse Input ViewsCode1
NoisyTwins: Class-Consistent and Diverse Image Generation through StyleGANsCode1
Polynomial Implicit Neural Representations For Large Diverse DatasetsCode1
Foreground-Background Separation through Concept Distillation from Generative Image Foundation ModelsCode1
Refining Generative Process with Discriminator Guidance in Score-based Diffusion ModelsCode1
Frido: Feature Pyramid Diffusion for Complex Scene Image SynthesisCode1
Improving GANs for Long-Tailed Data through Group Spectral RegularizationCode1
Generator Knows What Discriminator Should Learn in Unconditional GANsCode1
Entropy-driven Sampling and Training Scheme for Conditional Diffusion GenerationCode1
Denoising Likelihood Score Matching for Conditional Score-based Data GenerationCode1
Transferring Unconditional to Conditional GANs with Hyper-ModulationCode1
D2C: Diffusion-Decoding Models for Few-Shot Conditional GenerationCode1
Conditional Image Generation with Score-Based Diffusion ModelsCode1
Projected GANs Converge FasterCode1
ClimateGAN: Raising Climate Change Awareness by Generating Images of FloodsCode1
FooDI-ML: a large multi-language dataset of food, drinks and groceries images and descriptionsCode1
Instance-Conditioned GANCode1
Is Attention Better Than Matrix Decomposition?Code1
Flying Guide Dog: Walkable Path Discovery for the Visually Impaired Utilizing Drones and Transformer-based Semantic SegmentationCode1
Establishing process-structure linkages using Generative Adversarial NetworksCode1
D2C: Diffusion-Denoising Models for Few-shot Conditional GenerationCode1
Image Super-Resolution via Iterative RefinementCode1
Conditional Image Generation by Conditioning Variational Auto-EncodersCode1
Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution HeterogeneityCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Projection DiscriminatorFID17.5—Unverified
2BigGANFID14.73—Unverified
3CR-BigGANFID11.67—Unverified
4ContraGANFID10.3—Unverified
5NDAFID9.42—Unverified
6Splitting GANInception score8.87—Unverified
7WGAN-GPInception score8.67—Unverified
8SGANInception score8.59—Unverified
9AC-GANInception score8.25—Unverified
10Improved GANInception score8.09—Unverified
#ModelMetricClaimedVerifiedStatus
1AC-GANInception score28.5—Unverified
2Projection DiscriminatorFID27.62—Unverified
3SAGANFID18.65—Unverified
4Your Local GANFID15.94—Unverified
5HamGANFID14.8—Unverified
6FQ-GANFID13.77—Unverified
7BigGAN + instance selectionFID9.61—Unverified
8IC-GAN + DAFID9.5—Unverified
9Omni-GANFID8.3—Unverified
10ReACGANFID8.21—Unverified
#ModelMetricClaimedVerifiedStatus
1Projected GANFID11.84—Unverified
2BigGAN + CRFID4.65—Unverified
3StyleGAN2FID4.49—Unverified
4BigGAN + DiffAugFID4.06—Unverified
5ReACGAN + DiffAugFID3.18—Unverified
6StyleGAN2 + ADAFID2.63—Unverified
#ModelMetricClaimedVerifiedStatus
1MHingeGANFID17.3—Unverified
2aw-BigGANFID10.23—Unverified
3ADC-GANFID8.12—Unverified
4TAC-GANFID7.22—Unverified
5FQ-GANFID7.15—Unverified
6DLSMFID3.86—Unverified
#ModelMetricClaimedVerifiedStatus
1FQ-GANFID9.67—Unverified
2SAGAN + instance selectionFID9.07—Unverified
3IC-GAN + DAFID6.7—Unverified
#ModelMetricClaimedVerifiedStatus
1BigGANFID16.37—Unverified
2U-Net GANFID13.73—Unverified
#ModelMetricClaimedVerifiedStatus
1BigGAN+ [Brock et al.] (chx96)FID8.1—Unverified
2DiGITFID3.39—Unverified
#ModelMetricClaimedVerifiedStatus
1SCDMFID17.4—Unverified
#ModelMetricClaimedVerifiedStatus
1BigGAN + gSRFID12.03—Unverified
#ModelMetricClaimedVerifiedStatus
1StyleGAN2 + NoisyTwinsFID21.29—Unverified
#ModelMetricClaimedVerifiedStatus
1ADC-GANFID19.02—Unverified