{"total":94,"rows":[{"id":"2303.01469","title":"Consistency Models","created":"2023-03-02","cited_by_count":1822,"area":"diffusion"},{"id":"2311.18828","title":"One-step Diffusion with Distribution Matching Distillation","created":"2023-11-30","cited_by_count":1019,"area":"diffusion"},{"id":"2106.05931","title":"Score-based Generative Modeling in Latent Space","created":"2021-06-10","cited_by_count":636,"area":"diffusion"},{"id":"2112.07804","title":"Tackling the Generative Learning Trilemma with Denoising Diffusion GANs","created":"2021-12-15","cited_by_count":516,"area":"diffusion"},{"id":"2305.18455","title":"Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models","created":"2023-05-29","cited_by_count":236,"area":"diffusion"},{"id":"2112.07068","title":"Score-Based Generative Modeling with Critically-Damped Langevin Diffusion","created":"2021-12-14","cited_by_count":233,"area":"diffusion"},{"id":"2110.11291","title":"Likelihood Training of Schr\\\"odinger Bridge using Forward-Backward SDEs Theory","created":"2021-10-21","cited_by_count":219,"area":null},{"id":"2102.11535","title":"Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective","created":"2021-02-23","cited_by_count":169,"area":null},{"id":"2102.07074","title":"TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up","created":"2021-02-14","cited_by_count":162,"area":null},{"id":"2301.08727","title":"Neural Architecture Search: Insights from 1000 Papers","created":"2023-01-20","cited_by_count":139,"area":null},{"id":"2312.02139","title":"DiffiT: Diffusion Vision Transformers for Image Generation","created":"2023-12-04","cited_by_count":106,"area":"diffusion"},{"id":"2106.00783","title":"Fourier Space Losses for Efficient Perceptual Image Super-Resolution","created":"2021-06-01","cited_by_count":73,"area":null},{"id":"2101.09336","title":"A Comprehensive Survey on Hardware-Aware Neural Architecture Search","created":"2021-01-22","cited_by_count":61,"area":null},{"id":"2401.08639","title":"One-Step Diffusion Distillation via Deep Equilibrium Models","created":"2023-12-12","cited_by_count":61,"area":"diffusion"},{"id":"2301.11300","title":"ZiCo: Zero-shot NAS via Inverse Coefficient of Variation on Gradients","created":"2023-01-26","cited_by_count":58,"area":null},{"id":"2201.10355","title":"Neural Architecture Search for Spiking Neural Networks","created":"2022-01-23","cited_by_count":53,"area":null},{"id":"2202.09671","title":"Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-Encoders","created":"2022-02-19","cited_by_count":42,"area":"diffusion"},{"id":"2305.14777","title":"Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport","created":"2023-05-24","cited_by_count":41,"area":null},{"id":"2508.00701","title":"D3: Training-Free AI-Generated Video Detection Using Second-Order Features","created":"2025-08-01","cited_by_count":34,"area":null},{"id":"2106.00134","title":"GANs Can Play Lottery Tickets Too","created":"2021-05-31","cited_by_count":32,"area":null},{"id":"2204.02844","title":"Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training","created":"2022-04-06","cited_by_count":29,"area":null},{"id":"2106.07023","title":"Styleformer: Transformer based Generative Adversarial Networks with Style Vector","created":"2021-06-13","cited_by_count":27,"area":null},{"id":"2103.00397","title":"Data-Efficient GAN Training Beyond (Just) Augmentations: A Lottery Ticket Perspective","created":"2021-02-28","cited_by_count":25,"area":null},{"id":"2109.02235","title":"Gradient Normalization for Generative Adversarial Networks","created":"2021-09-06","cited_by_count":25,"area":null},{"id":"2108.06908","title":"Online Multi-Granularity Distillation for GAN Compression","created":"2021-08-16","cited_by_count":24,"area":null},{"id":"2201.00466","title":"RFormer: Transformer-based Generative Adversarial Network for Real Fundus Image Restoration on A New Clinical Benchmark","created":"2022-01-03","cited_by_count":24,"area":null},{"id":"2402.05443","title":"Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport","created":"2024-02-08","cited_by_count":23,"area":null},{"id":"2307.01998","title":"Zero-Shot Neural Architecture Search: Challenges, Solutions, and Opportunities","created":"2023-07-05","cited_by_count":21,"area":null},{"id":"2108.00386","title":"WAS-VTON: Warping Architecture Search for Virtual Try-on Network","created":"2021-08-01","cited_by_count":18,"area":null},{"id":"2405.17532","title":"ClassDiffusion: More Aligned Personalization Tuning with Explicit Class Guidance","created":"2024-05-27","cited_by_count":18,"area":"diffusion"},{"id":"2303.17546","title":"PAIR-Diffusion: A Comprehensive Multimodal Object-Level Image Editor","created":"2023-03-30","cited_by_count":17,"area":"diffusion"},{"id":"2101.06658","title":"Trilevel Neural Architecture Search for Efficient Single Image Super-Resolution","created":"2021-01-17","cited_by_count":15,"area":null},{"id":"2201.03297","title":"GhostNets on Heterogeneous Devices via Cheap Operations","created":"2022-01-10","cited_by_count":15,"area":null},{"id":"2107.12679","title":"MFAGAN: A Compression Framework for Memory-Efficient On-Device Super-Resolution GAN","created":"2021-07-27","cited_by_count":14,"area":null},{"id":"2305.10769","title":"Catch-Up Distillation: You Only Need to Train Once for Accelerating Sampling","created":"2023-05-18","cited_by_count":13,"area":null},{"id":"2207.05049","title":"Fast-Vid2Vid: Spatial-Temporal Compression for Video-to-Video Synthesis","created":"2022-07-11","cited_by_count":12,"area":null},{"id":"2111.07535","title":"T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging","created":"2021-11-15","cited_by_count":11,"area":null},{"id":"2104.00816","title":"Partition-Guided GANs","created":"2021-04-02","cited_by_count":9,"area":null},{"id":"2108.08019","title":"RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving","created":"2021-08-18","cited_by_count":9,"area":null},{"id":"2205.05844","title":"Bi-level Alignment for Cross-Domain Crowd Counting","created":"2022-05-12","cited_by_count":8,"area":null},{"id":"2310.02611","title":"Analyzing and Improving Optimal-Transport-based Adversarial Networks","created":"2023-10-04","cited_by_count":8,"area":null},{"id":"2102.11382","title":"Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity","created":"2021-02-22","cited_by_count":7,"area":null},{"id":"2108.11939","title":"Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics","created":"2021-08-26","cited_by_count":7,"area":null},{"id":"2207.13320","title":"Generator Knows What Discriminator Should Learn in Unconditional GANs","created":"2022-07-27","cited_by_count":7,"area":null},{"id":"2106.08505","title":"Dynamically Grown Generative Adversarial Networks","created":"2021-06-16","cited_by_count":6,"area":null},{"id":"2303.05456","title":"Restoration based Generative Models","created":"2023-02-20","cited_by_count":6,"area":"diffusion"},{"id":"2308.09915","title":"EGANS: Evolutionary Generative Adversarial Network Search for Zero-Shot Learning","created":"2023-08-19","cited_by_count":6,"area":null},{"id":"2311.18208","title":"SMaRt: Improving GANs with Score Matching Regularity","created":"2023-11-30","cited_by_count":6,"area":"diffusion"},{"id":"2102.10557","title":"Contrastive Self-supervised Neural Architecture Search","created":"2021-02-21","cited_by_count":5,"area":null},{"id":"2105.10189","title":"Combining Transformer Generators with Convolutional Discriminators","created":"2021-05-21","cited_by_count":5,"area":null},{"id":"2111.15097","title":"EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANs","created":"2021-11-30","cited_by_count":5,"area":null},{"id":"2206.14658","title":"Cut Inner Layers: A Structured Pruning Strategy for Efficient U-Net GANs","created":"2022-06-29","cited_by_count":5,"area":null},{"id":"2303.02906","title":"MotionVideoGAN: A Novel Video Generator Based on the Motion Space Learned from Image Pairs","created":"2023-03-06","cited_by_count":5,"area":null},{"id":"2311.14097","title":"ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models","created":"2023-11-23","cited_by_count":5,"area":"diffusion"},{"id":"2101.07524","title":"DuelGAN: A Duel Between Two Discriminators Stabilizes the GAN Training","created":"2021-01-19","cited_by_count":4,"area":null},{"id":"2203.05508","title":"Towards Less Constrained Macro-Neural Architecture Search","created":"2022-03-10","cited_by_count":4,"area":null},{"id":"2206.05625","title":"Exploring the Intersection between Neural Architecture Search and Continual Learning","created":"2022-06-11","cited_by_count":4,"area":null},{"id":"2308.10120","title":"Deep Generative Modeling-based Data Augmentation with Demonstration using the BFBT Benchmark Void Fraction Datasets","created":"2023-08-19","cited_by_count":4,"area":null},{"id":"2406.11713","title":"Latent Denoising Diffusion GAN: Faster sampling, Higher image quality","created":"2024-06-17","cited_by_count":4,"area":"diffusion"},{"id":"2104.09223","title":"Coarse-to-Fine Searching for Efficient Generative Adversarial Networks","created":"2021-04-19","cited_by_count":3,"area":null},{"id":"2107.12202","title":"Black-Box Diagnosis and Calibration on GAN Intra-Mode Collapse: A Pilot Study","created":"2021-07-23","cited_by_count":3,"area":null},{"id":"2204.04707","title":"Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review","created":"2022-04-10","cited_by_count":3,"area":null},{"id":"2303.16938","title":"Are Neural Architecture Search Benchmarks Well Designed? A Deeper Look Into Operation Importance","created":"2023-03-29","cited_by_count":3,"area":null},{"id":"2309.09310","title":"UGC: Unified GAN Compression for Efficient Image-to-Image Translation","created":"2023-09-17","cited_by_count":3,"area":null},{"id":"2311.04071","title":"Energy-Calibrated VAE with Test Time Free Lunch","created":"2023-11-07","cited_by_count":3,"area":null},{"id":"2105.04538","title":"Learning High-Dimensional Distributions with Latent Neural Fokker-Planck Kernels","created":"2021-05-10","cited_by_count":2,"area":null},{"id":"2107.01858","title":"Automating Generative Deep Learning for Artistic Purposes: Challenges and Opportunities","created":"2021-07-05","cited_by_count":2,"area":null},{"id":"2110.12197","title":"Towards a Robust Differentiable Architecture Search under Label Noise","created":"2021-10-23","cited_by_count":2,"area":null},{"id":"2304.13742","title":"TR0N: Translator Networks for 0-Shot Plug-and-Play Conditional Generation","created":"2023-04-26","cited_by_count":2,"area":null},{"id":"2106.09914","title":"A Unified Generative Adversarial Network Training via Self-Labeling and Self-Attention","created":"2021-06-18","cited_by_count":1,"area":null},{"id":"2106.13227","title":"AutoAdapt: Automated Segmentation Network Search for Unsupervised Domain Adaptation","created":"2021-06-24","cited_by_count":1,"area":null},{"id":"2111.03162","title":"GraN-GAN: Piecewise Gradient Normalization for Generative Adversarial Networks","created":"2021-11-04","cited_by_count":1,"area":null},{"id":"2210.09459","title":"Extensible Proxy for Efficient NAS","created":"2022-10-17","cited_by_count":1,"area":null},{"id":"2212.11091","title":"Exploring Content Relationships for Distilling Efficient GANs","created":"2022-12-21","cited_by_count":1,"area":null},{"id":"2303.08541","title":"Adapting U-Net for linear elastic stress estimation in polycrystal Zr microstructures","created":"2023-03-15","cited_by_count":1,"area":null},{"id":"2311.07162","title":"CycleGANAS: Differentiable Neural Architecture Search for CycleGAN","created":"2023-11-13","cited_by_count":1,"area":null},{"id":"2407.05527","title":"Rethinking Image Skip Connections in StyleGAN2","created":"2024-07-08","cited_by_count":1,"area":null},{"id":"2411.05855","title":"Learning Morphisms with Gauss-Newton Approximation for Growing Networks","created":"2024-11-07","cited_by_count":1,"area":null},{"id":"2607.07984","title":"Agentic Neural Architecture Search","created":"2026-07-08","cited_by_count":1,"area":"agents"},{"id":"2101.01178","title":"Advances in Electron Microscopy with Deep Learning","created":"2021-01-04","cited_by_count":0,"area":null},{"id":"2107.05241","title":"Prb-GAN: A Probabilistic Framework for GAN Modelling","created":"2021-07-12","cited_by_count":0,"area":null},{"id":"2112.03502","title":"A Generic Approach for Enhancing GANs by Regularized Latent Optimization","created":"2021-12-07","cited_by_count":0,"area":null},{"id":"2201.11104","title":"Combining Optimal Path Search With Task-Dependent Learning in a Neural Network","created":"2022-01-26","cited_by_count":0,"area":null},{"id":"2211.05730","title":"NEON: Enabling Efficient Support for Nonlinear Operations in Resistive RAM-based Neural Network Accelerators","created":"2022-11-10","cited_by_count":0,"area":null},{"id":"2211.14753","title":"A Self-adaptive Neuroevolution Approach to Constructing Deep Neural Network Architectures Across Different Types","created":"2022-11-27","cited_by_count":0,"area":null},{"id":"2211.16791","title":"Adaptive adversarial training method for improving multi-scale GAN based on generalization bound theory","created":"2022-11-30","cited_by_count":0,"area":null},{"id":"2306.13576","title":"Penalty Gradient Normalization for Generative Adversarial Networks","created":"2023-06-23","cited_by_count":0,"area":null},{"id":"2311.00995","title":"A Chronological Survey of Theoretical Advancements in Generative Adversarial Networks for Computer Vision","created":"2023-11-02","cited_by_count":0,"area":null},{"id":"2406.00195","title":"SNED: Superposition Network Architecture Search for Efficient Video Diffusion Model","created":"2024-05-31","cited_by_count":0,"area":"diffusion"},{"id":"2410.04764","title":"Double Oracle Neural Architecture Search for Game Theoretic Deep Learning Models","created":"2024-10-07","cited_by_count":0,"area":null},{"id":"2411.12278","title":"Versatile Cataract Fundus Image Restoration Model Utilizing Unpaired Cataract and High-quality Images","created":"2024-11-19","cited_by_count":0,"area":null},{"id":"2501.02007","title":"TART: Token-based Architecture Transformer for Neural Network Performance Prediction","created":"2025-01-02","cited_by_count":0,"area":null},{"id":"2606.26169","title":"Neural Architecture Search for Generative Adversarial Networks: A Comprehensive Review and Critical Analysis","created":"2026-06-24","cited_by_count":0,"area":null},{"id":"2608.29540","title":"NepScript Genesis: Neural Architecture Search for Handwritten Devanagari Digit Synthesis","created":"2026-08-30","cited_by_count":0,"area":null}],"next_cursor":null}