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

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Showing 201–250 of 286 papers

TitleStatusHype
not-so-BigGAN: Generating High-Fidelity Images on Small Compute with Wavelet-based Super-Resolution—0
An Analysis on Quantizing Diffusion Transformers—0
OmniControlNet: Dual-stage Integration for Conditional Image Generation—0
Zero-Shot Object Segmentation through Concept Distillation from Generative Image Foundation Models—0
On Conditioning the Input Noise for Controlled Image Generation with Diffusion Models—0
OneGAN: Simultaneous Unsupervised Learning of Conditional Image Generation, Foreground Segmentation, and Fine-Grained Clustering—0
On The Distribution of Penultimate Activations of Classification Networks—0
Outsourced diffusion sampling: Efficient posterior inference in latent spaces of generative models—0
Towards Device Efficient Conditional Image Generation—0
Parallel Multiscale Autoregressive Density Estimation—0
GLASS: Guided Latent Slot Diffusion for Object-Centric Learning—0
AsCAN: Asymmetric Convolution-Attention Networks for Efficient Recognition and Generation—0
Improving Training-free Conditional Diffusion Model via Fisher Information—0
Guided Flows for Generative Modeling and Decision Making—0
Guided Latent Slot Diffusion for Object-Centric Learning—0
Poisson Flow Joint Model for Multiphase contrast-enhanced CT—0
Guiding GANs: How to control non-conditional pre-trained GANs for conditional image generation—0
Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation—0
Flexible Conditional Image Generation of Missing Data with Learned Mental Maps—0
Causal Adversarial Network for Learning Conditional and Interventional Distributions—0
CDPMSR: Conditional Diffusion Probabilistic Models for Single Image Super-Resolution—0
cFineGAN: Unsupervised multi-conditional fine-grained image generation—0
BigGAN-based Bayesian reconstruction of natural images from human brain activity—0
High-Fidelity Image Generation With Fewer Labels—0
Spatially Multi-conditional Image Generation—0
High-Resolution Image Synthesis via Next-Token Prediction—0
ArrowGAN : Learning to Generate Videos by Learning Arrow of Time—0
CIMGEN: Controlled Image Manipulation by Finetuning Pretrained Generative Models on Limited Data—0
Active Learning Inspired ControlNet Guidance for Augmenting Semantic Segmentation Datasets—0
BRUNO: A Deep Recurrent Model for Exchangeable DataCode0
FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and DiscoveryCode0
Flow Plugin Network for conditional generationCode0
Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative ModelsCode0
Semantic Bottleneck Scene GenerationCode0
GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired DataCode0
Generating Multiple Objects at Spatially Distinct LocationsCode0
Spatially Constrained GAN for Face and Fashion SynthesisCode0
GP-GAN: Towards Realistic High-Resolution Image BlendingCode0
Grid Partitioned Attention: Efficient TransformerApproximation with Inductive Bias for High Resolution Detail GenerationCode0
ArtGAN: Artwork Synthesis with Conditional Categorical GANsCode0
Stacked Generative Adversarial NetworksCode0
Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image SynthesisCode0
Virtual Conditional Generative Adversarial NetworksCode0
Improved ArtGAN for Conditional Synthesis of Natural Image and ArtworkCode0
Invertible Conditional GANs for image editingCode0
Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial LearningCode0
When Relation Networks meet GANs: Relation GANs with Triplet LossCode0
LOGAN: Latent Optimisation for Generative Adversarial NetworksCode0
Mapping Instructions to Actions in 3D Environments with Visual Goal PredictionCode0
TorchGAN: A Flexible Framework for GAN Training and EvaluationCode0
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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