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Conditional Image Generation

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

( Image credit: PixelCNN++ )

Papers

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Showing 151–175 of 286 papers

TitleStatusHype
Condition-Aware Neural Network for Controlled Image Generation—0
Conditional Wasserstein Distances with Applications in Bayesian OT Flow MatchingCode0
Attack Deterministic Conditional Image Generative Models for Diverse and Controllable Generation—0
Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models—0
Rethinking cluster-conditioned diffusion models for label-free image synthesisCode0
Structure-Guided Adversarial Training of Diffusion Models—0
Diffusion Model Compression for Image-to-Image Translation—0
UNIMO-G: Unified Image Generation through Multimodal Conditional Diffusion—0
CIMGEN: Controlled Image Manipulation by Finetuning Pretrained Generative Models on Limited Data—0
Conditional Image Generation with Pretrained Generative Model—0
Unlocking Pre-trained Image Backbones for Semantic Image Synthesis—0
ArcGAN: Generative Adversarial Networks for 3D Architectural Image Generation—0
Manifold Preserving Guided Diffusion—0
Guided Flows for Generative Modeling and Decision Making—0
Enhancing Object Coherence in Layout-to-Image SynthesisCode0
Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance KernelCode0
Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image SynthesisCode0
Diverse Semantic Image Editing with Style CodesCode0
Diff-Retinex: Rethinking Low-light Image Enhancement with A Generative Diffusion Model—0
Soft Curriculum for Learning Conditional GANs with Noisy-Labeled and Uncurated Unlabeled Data—0
AniFaceDrawing: Anime Portrait Exploration during Your Sketching—0
SyncDiffusion: Coherent Montage via Synchronized Joint Diffusions—0
Cocktail: Mixing Multi-Modality Controls for Text-Conditional Image Generation—0
DuDGAN: Improving Class-Conditional GANs via Dual-Diffusion—0
Trade-offs in Fine-tuned Diffusion Models Between Accuracy and InterpretabilityCode0
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All datasetsCIFAR-10ImageNet 128x128ArtBench-10 (32x32)CIFAR-100ImageNet 64x64COCO-AnimalsImageNet 256x256CelebAMask-HQCIFAR-10 LTImageNet-LTTiny ImageNet

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