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 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
D2C: Unlocking the Potential of Continuous Autoregressive Image Generation with Discrete Tokens—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
DC-ControlNet: Decoupling Inter- and Intra-Element Conditions in Image Generation with Diffusion Models—0
Parallel Multiscale Autoregressive Density Estimation—0
Representation learning with CGAN for casual inference—0
DeepWarp: Photorealistic Image Resynthesis for Gaze Manipulation—0
Retinex-Diffusion: On Controlling Illumination Conditions in Diffusion Models via Retinex Theory—0
Auto-regressive Image Synthesis with Integrated Quantization—0
DiffAD: A Unified Diffusion Modeling Approach for Autonomous Driving—0
Poisson Flow Joint Model for Multiphase contrast-enhanced CT—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
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
Efficient Flow Matching using Latent Variables—0
Di[M]O: Distilling Masked Diffusion Models into One-step Generator—0
Discrete Predictor-Corrector Diffusion Models for Image Synthesis—0
Efficient Generative Modeling with Residual Vector Quantization-Based Tokens—0
CIMGEN: Controlled Image Manipulation by Finetuning Pretrained Generative Models on Limited Data—0
Efficient Multi-Instance Generation with Janus-Pro-Dirven Prompt Parsing—0
Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer—0
Towards Device Efficient Conditional Image Generation—0
Evaluation Metrics for Conditional Image Generation—0
Exploring Intra-Class Variation Factors With Learnable Cluster Prompts for Semi-Supervised Image Synthesis—0
A survey on knowledge-enhanced multimodal learning—0
Scalable, Tokenization-Free Diffusion Model Architectures with Efficient Initial Convolution and Fixed-Size Reusable Structures for On-Device Image Generation—0
A Hybrid Wavelet-Fourier Method for Next-Generation Conditional Diffusion Models—0
PRISM: A Unified Framework for Photorealistic Reconstruction and Intrinsic Scene Modeling—0
AsCAN: Asymmetric Convolution-Attention Networks for Efficient Recognition and Generation—0
Improving Training-free Conditional Diffusion Model via Fisher Information—0
Flexible Conditional Image Generation of Missing Data with Learned Mental Maps—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
Adversarial Text-to-Image Synthesis: A Review—0
Self-control: A Better Conditional Mechanism for Masked Autoregressive Model—0
DT2I: Dense Text-to-Image Generation from Region Descriptions—0
Semi-supervised FusedGAN for Conditional Image Generation—0
Shape-conditioned Image Generation by Learning Latent Appearance Representation from Unpaired Data—0
From Bird's-Eye to Street View: Crafting Diverse and Condition-Aligned Images with Latent Diffusion Model—0
G2PDiffusion: Genotype-to-Phenotype Prediction with Diffusion Models—0
Adaptively Controllable Diffusion Model for Efficient Conditional Image Generation—0
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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