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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–150 of 286 papers

TitleStatusHype
Stochastic Conditional Diffusion Models for Robust Semantic Image SynthesisCode1
Evaluating the Clinical Realism of Synthetic Chest X-Rays Generated Using Progressively Growing GANsCode1
Tell2Design: A Dataset for Language-Guided Floor Plan GenerationCode1
Text as Neural Operator: Image Manipulation by Text InstructionCode1
TinyGAN: Distilling BigGAN for Conditional Image GenerationCode1
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial NetworksCode1
VIEScore: Towards Explainable Metrics for Conditional Image Synthesis EvaluationCode1
Evaluation Metrics for Conditional Image Generation—0
PRISM: A Unified Framework for Photorealistic Reconstruction and Intrinsic Scene Modeling—0
Unified Multi-Modal Latent Diffusion for Joint Subject and Text Conditional Image Generation—0
Cocktail: Mixing Multi-Modality Controls for Text-Conditional Image Generation—0
Image Generation and Translation with Disentangled Representations—0
Collage Diffusion—0
Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models—0
Conditional Generative Data-free Knowledge Distillation—0
Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training—0
Conditional Image Generation with One-Vs-All Classifier—0
ST-DDPM: Explore Class Clustering for Conditional Diffusion Probabilistic Models—0
Conditional Image Generation with Pretrained Generative Model—0
Reconstructing the Noise Manifold for Image Denoising—0
Reconstructing the Noise Variance Manifold for Image Denoising—0
Exploring Intra-Class Variation Factors With Learnable Cluster Prompts for Semi-Supervised Image Synthesis—0
Condition-Aware Neural Network for Controlled Image Generation—0
Consistency Regularization for Generative Adversarial Networks—0
Constant Rate Schedule: Constant-Rate Distributional Change for Efficient Training and Sampling in Diffusion Models—0
Context-Aware Autoregressive Models for Multi-Conditional Image Generation—0
ContraGAN: Contrastive Learning for Conditional Image Generation—0
Controllable Image Synthesis via SegVAE—0
Reference-based Variational Autoencoders—0
Adversarial Text-to-Image Synthesis: A Review—0
Self-control: A Better Conditional Mechanism for Masked Autoregressive Model—0
Ctrl-U: Robust Conditional Image Generation via Uncertainty-aware Reward Modeling—0
UNIMO-G: Unified Image Generation through Multimodal Conditional Diffusion—0
Unlocking Pre-trained Image Backbones for Semantic Image Synthesis—0
D2C: Unlocking the Potential of Continuous Autoregressive Image Generation with Discrete Tokens—0
DC-ControlNet: Decoupling Inter- and Intra-Element Conditions in Image Generation with Diffusion Models—0
Representation learning with CGAN for casual inference—0
DeepWarp: Photorealistic Image Resynthesis for Gaze Manipulation—0
Stochastic Conditional Generative Networks with Basis Decomposition—0
Auto-regressive Image Synthesis with Integrated Quantization—0
DiffAD: A Unified Diffusion Modeling Approach for Autonomous Driving—0
Rethinking the Objectives of Vector-Quantized Tokenizers for Image Synthesis—0
Diff-Retinex: Rethinking Low-light Image Enhancement with A Generative Diffusion Model—0
Augmented Conditioning Is Enough For Effective Training Image Generation—0
Structure-Guided Adversarial Training of Diffusion Models—0
Di[M]O: Distilling Masked Diffusion Models into One-step Generator—0
Discrete Predictor-Corrector Diffusion Models for Image Synthesis—0
SyncDiffusion: Coherent Montage via Synchronized Joint Diffusions—0
In-Context Translation: Towards Unifying Image Recognition, Processing, and Generation—0
Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer—0
Show:102550
← PrevPage 3 of 6Next →
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