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Accelerate Conditional Diffusion Via Consistency Models

https://doi.org/10.2139/ssrn.4850586
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Survey on person re‐identification based on deep learning
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The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
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MoCoGAN: Decomposing Motion and Content for Video Generation
inferredcites →https://doi.org/10.1109/cvpr.2018.00359openalex-extracted
Deformable GANs for Pose-Based Human Image Generation
inferredcites →https://doi.org/10.1109/cvpr.2019.00245openalex-extracted
Progressive Pose Attention Transfer for Person Image Generation
inferredcites →https://doi.org/10.1109/cvpr.2019.00246openalex-extracted
Unsupervised Person Image Generation With Semantic Parsing Transformation
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00513openalex-extracted
Controllable Person Image Synthesis With Attribute-Decomposed GAN
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00771openalex-extracted
Deep Image Spatial Transformation for Person Image Generation
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00787openalex-extracted
Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content
inferredcites →https://doi.org/10.1109/cvpr52688.2022.00756openalex-extracted
Exploring Dual-task Correlation for Pose Guided Person Image Generation
inferredcites →https://doi.org/10.1109/cvpr52688.2022.01042openalex-extracted
High-Resolution Image Synthesis with Latent Diffusion Models
inferredcites →https://doi.org/10.1109/cvpr52688.2022.01317openalex-extracted
Neural Texture Extraction and Distribution for Controllable Person Image Synthesis
inferredcites →https://doi.org/10.1109/cvpr52729.2023.00578openalex-extracted
Person Image Synthesis via Denoising Diffusion Model
inferredcites →https://doi.org/10.1109/iccv.2019.00912openalex-extracted
Towards Multi-Pose Guided Virtual Try-On Network
inferredcites →https://doi.org/10.1109/iciea.2019.8833686openalex-extracted
A Review: Generative Adversarial Networks
inferredcites →https://doi.org/10.1109/msp.2017.2765202openalex-extracted
Generative Adversarial Networks: An Overview
inferredcites →https://doi.org/10.1109/tip.2003.819861openalex-extracted
Image quality assessment: from error visibility to structural similarity
inferredcites →https://doi.org/10.1109/tip.2020.3003227openalex-extracted
Scripted Video Generation With a Bottom-Up Generative Adversarial Network
inferredcites →https://doi.org/10.1109/tip.2020.3018224openalex-extracted
Deep Spatial Transformation for Pose-Guided Person Image Generation and Animation
inferredcites →https://doi.org/10.1109/tkde.2021.3130191openalex-extracted
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
inferredcites →https://doi.org/10.1145/3343031.3350980openalex-extracted
Cycle In Cycle Generative Adversarial Networks for Keypoint-Guided Image Generation
inferredcites →https://doi.org/10.1561/2200000089openalex-extracted
Dynamical Variational Autoencoders: A Comprehensive Review
inferredcites →https://doi.org/10.48550/arxiv.1705.09368openalex-extracted
Pose Guided Person Image Generation
inferredcites →https://doi.org/10.48550/arxiv.1706.08500openalex-extracted
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
inferredcites →https://doi.org/10.48550/arxiv.1711.05101openalex-extracted
Decoupled Weight Decay Regularization
inferredcites →https://doi.org/10.48550/arxiv.1912.01703openalex-extracted
PyTorch: An Imperative Style, High-Performance Deep Learning Library
inferredcites →https://doi.org/10.48550/arxiv.2006.11239openalex-extracted
Denoising Diffusion Probabilistic Models
inferredcites →https://doi.org/10.48550/arxiv.2009.05475openalex-extracted
Adversarial score matching and improved sampling for image generation
inferredcites →https://doi.org/10.48550/arxiv.2010.02502openalex-extracted
Denoising Diffusion Implicit Models
inferredcites →https://doi.org/10.48550/arxiv.2011.13456openalex-extracted
Score-Based Generative Modeling through Stochastic Differential Equations
inferredcites →https://doi.org/10.48550/arxiv.2102.09672openalex-extracted
Improved Denoising Diffusion Probabilistic Models
inferredcites →https://doi.org/10.48550/arxiv.2103.00020openalex-extracted
Learning Transferable Visual Models From Natural Language Supervision
inferredcites →https://doi.org/10.48550/arxiv.2105.05233openalex-extracted
Diffusion Models Beat GANs on Image Synthesis
inferredcites →https://doi.org/10.48550/arxiv.2112.10752openalex-extracted
High-Resolution Image Synthesis with Latent Diffusion Models
inferredcites →https://doi.org/10.48550/arxiv.2202.00512openalex-extracted
Progressive Distillation for Fast Sampling of Diffusion Models
inferredcites →https://doi.org/10.48550/arxiv.2205.11487openalex-extracted
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
inferredcites →https://doi.org/10.48550/arxiv.2205.12524openalex-extracted
Accelerating Diffusion Models via Early Stop of the Diffusion Process
inferredcites →https://doi.org/10.48550/arxiv.2207.12598openalex-extracted
Classifier-Free Diffusion Guidance
inferredcites →https://doi.org/10.48550/arxiv.2210.08402openalex-extracted
LAION-5B: An open large-scale dataset for training next generation image-text models
inferredcites →https://doi.org/10.48550/arxiv.2211.06235openalex-extracted
HumanDiffusion: a Coarse-to-Fine Alignment Diffusion Framework for Controllable Text-Driven Person Image Generation
inferredcites →https://doi.org/10.48550/arxiv.2310.04378openalex-extracted
Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference
inferredcites →https://doi.org/10.52202/068431-0418openalex-extracted
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps
inferredcites →https://doi.org/10.52202/068431-1926openalex-extracted
Elucidating the Design Space of Diffusion-Based Generative Models
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