{"total":304,"rows":[{"id":"2205.14217","title":"Diffusion-LM Improves Controllable Text Generation","created":"2022-05-27","cited_by_count":1027,"area":null},{"id":"2301.00704","title":"Muse: Text-To-Image Generation via Masked Generative Transformers","created":"2023-01-02","cited_by_count":648,"area":null},{"id":"2306.00986","title":"Diffusion Self-Guidance for Controllable Image Generation","created":"2023-06-01","cited_by_count":305,"area":null},{"id":"2306.14846","title":"ViNT: A Foundation Model for Visual Navigation","created":"2023-06-26","cited_by_count":222,"area":null},{"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":"2303.10158","title":"Data-centric Artificial Intelligence: A Survey","created":"2023-03-17","cited_by_count":203,"area":null},{"id":"2206.13397","title":"Generative Modelling With Inverse Heat Dissipation","created":"2022-06-21","cited_by_count":167,"area":null},{"id":"2303.04129","title":"Foundation Models for Decision Making: Problems, Methods, and Opportunities","created":"2023-03-07","cited_by_count":164,"area":null},{"id":"2305.04461","title":"Locally Attentional SDF Diffusion for Controllable 3D Shape Generation","created":"2023-05-08","cited_by_count":130,"area":null},{"id":"2307.01198","title":"Improved sampling via learned diffusions","created":"2023-07-03","cited_by_count":104,"area":null},{"id":"2310.10325","title":"Towards image compression with perfect realism at ultra-low bitrates","created":"2023-10-16","cited_by_count":103,"area":null},{"id":"2110.13711","title":"Hierarchical Transformers Are More Efficient Language Models","created":"2021-10-26","cited_by_count":102,"area":null},{"id":"2412.06329","title":"Normalizing Flows are Capable Generative Models","created":"2024-12-09","cited_by_count":91,"area":null},{"id":"2311.15529","title":"Efficient Dataset Distillation via Minimax Diffusion","created":"2023-11-27","cited_by_count":83,"area":null},{"id":"2312.12274","title":"Intrinsic Image Diffusion for Indoor Single-view Material Estimation","created":"2023-12-19","cited_by_count":73,"area":null},{"id":"2410.22570","title":"Orb: A Fast, Scalable Neural Network Potential","created":"2024-10-29","cited_by_count":66,"area":null},{"id":"2205.13554","title":"Training and Inference on Any-Order Autoregressive Models the Right Way","created":"2022-05-26","cited_by_count":64,"area":null},{"id":"2209.04439","title":"Improved Masked Image Generation with Token-Critic","created":"2022-09-09","cited_by_count":64,"area":null},{"id":"2309.05569","title":"ITI-GEN: Inclusive Text-to-Image Generation","created":"2023-09-11","cited_by_count":64,"area":null},{"id":"2111.11010","title":"Density Ratio Estimation via Infinitesimal Classification","created":"2021-11-22","cited_by_count":61,"area":null},{"id":"2211.11214","title":"DiffBP: Generative Diffusion of 3D Molecules for Target Protein Binding","created":"2022-11-21","cited_by_count":58,"area":null},{"id":"2111.10510","title":"Bayesian Learning via Neural Schr\\\"odinger-F\\\"ollmer Flows","created":"2021-11-20","cited_by_count":56,"area":null},{"id":"2305.08252","title":"Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity","created":"2023-05-14","cited_by_count":56,"area":null},{"id":"2302.03596","title":"Graph Generation with Diffusion Mixture","created":"2023-02-07","cited_by_count":55,"area":null},{"id":"2403.11050","title":"Endora: Video Generation Models as Endoscopy Simulators","created":"2024-03-17","cited_by_count":55,"area":null},{"id":"2311.09235","title":"Scalable Diffusion for Materials Generation","created":"2023-10-18","cited_by_count":54,"area":null},{"id":"2312.08885","title":"SceneWiz3D: Towards Text-guided 3D Scene Composition","created":"2023-12-13","cited_by_count":54,"area":null},{"id":"2306.15764","title":"High Fidelity Image Counterfactuals with Probabilistic Causal Models","created":"2023-06-27","cited_by_count":53,"area":null},{"id":"2309.16779","title":"Intriguing properties of generative classifiers","created":"2023-09-28","cited_by_count":52,"area":null},{"id":"2305.15719","title":"Efficient Neural Music Generation","created":"2023-05-25","cited_by_count":50,"area":null},{"id":"2306.01776","title":"From Zero to Turbulence: Generative Modeling for 3D Flow Simulation","created":"2023-05-29","cited_by_count":49,"area":null},{"id":"2311.18610","title":"DiffCAD: Weakly-Supervised Probabilistic CAD Model Retrieval and Alignment from an RGB Image","created":"2023-11-30","cited_by_count":48,"area":null},{"id":"2301.00427","title":"Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation","created":"2023-01-01","cited_by_count":46,"area":null},{"id":"2503.07135","title":"VidBot: Learning Generalizable 3D Actions from In-the-Wild 2D Human Videos for Zero-Shot Robotic Manipulation","created":"2025-03-10","cited_by_count":46,"area":null},{"id":"2205.09435","title":"Adversarial random forests for density estimation and generative modeling","created":"2022-05-19","cited_by_count":44,"area":null},{"id":"2110.15828","title":"Resampling Base Distributions of Normalizing Flows","created":"2021-10-29","cited_by_count":42,"area":null},{"id":"2304.11134","title":"Plug-and-Play split Gibbs sampler: embedding deep generative priors in Bayesian inference","created":"2023-04-21","cited_by_count":42,"area":null},{"id":"2304.14621","title":"MUDiff: Unified Diffusion for Complete Molecule Generation","created":"2023-04-28","cited_by_count":42,"area":null},{"id":"2306.06626","title":"On Kinetic Optimal Probability Paths for Generative Models","created":"2023-06-11","cited_by_count":42,"area":null},{"id":"2401.15443","title":"DiffuserLite: Towards Real-time Diffusion Planning","created":"2024-01-27","cited_by_count":42,"area":null},{"id":"2310.02970","title":"Fast, Expressive SE$(n)$ Equivariant Networks through Weight-Sharing in Position-Orientation Space","created":"2023-10-04","cited_by_count":41,"area":null},{"id":"2312.07322","title":"GenHowTo: Learning to Generate Actions and State Transformations from Instructional Videos","created":"2023-12-12","cited_by_count":40,"area":null},{"id":"2211.02590","title":"Modeling Temporal Data as Continuous Functions with Stochastic Process Diffusion","created":"2022-11-04","cited_by_count":39,"area":null},{"id":"2306.12360","title":"Protein Discovery with Discrete Walk-Jump Sampling","created":"2023-06-08","cited_by_count":38,"area":null},{"id":"2204.11824","title":"Semi-Parametric Neural Image Synthesis","created":"2022-04-25","cited_by_count":37,"area":null},{"id":"2308.10364","title":"SE(3) Equivariant Augmented Coupling Flows","created":"2023-08-20","cited_by_count":37,"area":null},{"id":"2310.19075","title":"Bespoke Solvers for Generative Flow Models","created":"2023-10-29","cited_by_count":37,"area":null},{"id":"2206.08545","title":"NU-Wave 2: A General Neural Audio Upsampling Model for Various Sampling Rates","created":"2022-06-17","cited_by_count":36,"area":null},{"id":"2303.14676","title":"PDPP: Projected Diffusion for Procedure Planning in Instructional Videos","created":"2023-03-26","cited_by_count":36,"area":null},{"id":"2310.10402","title":"Real-Fake: Effective Training Data Synthesis Through Distribution Matching","created":"2023-10-16","cited_by_count":36,"area":null},{"id":"2506.01928","title":"Esoteric Language Models: A Family of Any-Order Diffusion LLMs","created":"2025-06-02","cited_by_count":34,"area":null},{"id":"2310.07365","title":"GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfer Learning","created":"2023-10-11","cited_by_count":33,"area":null},{"id":"2302.08899","title":"QARV: Quantization-Aware ResNet VAE for Lossy Image Compression","created":"2023-02-16","cited_by_count":32,"area":null},{"id":"2305.20082","title":"Control4D: Efficient 4D Portrait Editing with Text","created":"2023-05-31","cited_by_count":32,"area":null},{"id":"2206.00070","title":"On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models","created":"2022-05-31","cited_by_count":31,"area":null},{"id":"2310.09031","title":"MINDE: Mutual Information Neural Diffusion Estimation","created":"2023-10-13","cited_by_count":31,"area":null},{"id":"2407.14962","title":"Recent Advances in Generative AI and Large Language Models: Current Status, Challenges, and Perspectives","created":"2024-07-20","cited_by_count":30,"area":null},{"id":"2502.13128","title":"SongGen: A Single Stage Auto-regressive Transformer for Text-to-Song Generation","created":"2025-02-18","cited_by_count":29,"area":null},{"id":"2204.07172","title":"Diagnosing and Fixing Manifold Overfitting in Deep Generative Models","created":"2022-04-14","cited_by_count":28,"area":null},{"id":"2402.10758","title":"Stochastic Localization via Iterative Posterior Sampling","created":"2024-02-16","cited_by_count":28,"area":null},{"id":"2203.13751","title":"Efficient-VDVAE: Less is more","created":"2022-03-25","cited_by_count":26,"area":null},{"id":"2309.16354","title":"Transformer-VQ: Linear-Time Transformers via Vector Quantization","created":"2023-09-28","cited_by_count":26,"area":null},{"id":"2311.05672","title":"Conditional Optimal Transport on Function Spaces","created":"2023-11-09","cited_by_count":26,"area":null},{"id":"2506.16960","title":"Visual-Instructed Degradation Diffusion for All-in-One Image Restoration","created":"2025-06-20","cited_by_count":26,"area":null},{"id":"2210.16870","title":"A simple, efficient and scalable contrastive masked autoencoder for learning visual representations","created":"2022-10-30","cited_by_count":25,"area":null},{"id":"2209.02606","title":"Unifying Generative Models with GFlowNets and Beyond","created":"2022-09-06","cited_by_count":24,"area":null},{"id":"2503.01103","title":"Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator","created":"2025-03-03","cited_by_count":23,"area":null},{"id":"2210.02884","title":"Vision+X: A Survey on Multimodal Learning in the Light of Data","created":"2022-10-05","cited_by_count":22,"area":null},{"id":"2405.03376","title":"CRA5: Extreme Compression of ERA5 for Portable Global Climate and Weather Research via an Efficient Variational Transformer","created":"2024-05-06","cited_by_count":22,"area":null},{"id":"2505.03351","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","created":"2025-05-06","cited_by_count":22,"area":null},{"id":"2305.12554","title":"CoMusion: Towards Consistent Stochastic Human Motion Prediction via Motion Diffusion","created":"2023-05-21","cited_by_count":21,"area":null},{"id":"2307.01050","title":"Transport meets Variational Inference: Controlled Monte Carlo Diffusions","created":"2023-07-03","cited_by_count":21,"area":null},{"id":"2211.07819","title":"General Intelligence Requires Rethinking Exploration","created":"2022-11-15","cited_by_count":20,"area":null},{"id":"2312.02253","title":"Diversify, Don't Fine-Tune: Scaling Up Visual Recognition Training with Synthetic Images","created":"2023-12-04","cited_by_count":20,"area":null},{"id":"2407.07873","title":"Dynamical Measure Transport and Neural PDE Solvers for Sampling","created":"2024-07-10","cited_by_count":20,"area":null},{"id":"2206.04672","title":"Overcoming the Spectral Bias of Neural Value Approximation","created":"2022-06-09","cited_by_count":19,"area":null},{"id":"2302.08086","title":"Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits","created":"2023-02-16","cited_by_count":19,"area":null},{"id":"2307.14397","title":"A Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shot","created":"2023-07-26","cited_by_count":19,"area":null},{"id":"2305.18375","title":"Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling","created":"2023-05-28","cited_by_count":18,"area":null},{"id":"2311.18815","title":"IMMA: Immunizing text-to-image Models against Malicious Adaptation","created":"2023-11-30","cited_by_count":18,"area":null},{"id":"2312.09597","title":"Deep Generative Models for Detector Signature Simulation: A Taxonomic Review","created":"2023-12-15","cited_by_count":18,"area":null},{"id":"2506.05310","title":"Learning normalized image densities via dual score matching","created":"2025-06-05","cited_by_count":18,"area":null},{"id":"2510.23588","title":"FARMER: Flow AutoRegressive Transformer over Pixels","created":"2025-10-27","cited_by_count":18,"area":null},{"id":"2303.11086","title":"Pluralistic Aging Diffusion Autoencoder","created":"2023-03-20","cited_by_count":17,"area":null},{"id":"2305.15742","title":"Counterfactual Generative Models for Time-Varying Treatments","created":"2023-05-25","cited_by_count":17,"area":null},{"id":"2412.19351","title":"ETTA: Elucidating the Design Space of Text-to-Audio Models","created":"2024-12-26","cited_by_count":17,"area":null},{"id":"2501.15420","title":"Visual Generation Without Guidance","created":"2025-01-26","cited_by_count":17,"area":null},{"id":"2305.10491","title":"Bayesian Renormalization","created":"2023-05-17","cited_by_count":14,"area":null},{"id":"2405.09431","title":"A Survey On Text-to-3D Contents Generation In The Wild","created":"2024-05-15","cited_by_count":14,"area":null},{"id":"2412.04470","title":"Turbo3D: Ultra-fast Text-to-3D Generation","created":"2024-12-05","cited_by_count":14,"area":null},{"id":"2507.01831","title":"Out-of-Distribution Detection Methods Answer the Wrong Questions","created":"2025-07-02","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":"2310.03218","title":"Learning Energy-Based Prior Model with Diffusion-Amortized MCMC","created":"2023-10-05","cited_by_count":13,"area":null},{"id":"2402.02631","title":"Learning to Understand: Identifying Interactions via the M\\\"obius Transform","created":"2024-02-04","cited_by_count":13,"area":null},{"id":"2510.14630","title":"Adapting Self-Supervised Representations as a Latent Space for Efficient Generation","created":"2025-10-16","cited_by_count":13,"area":null},{"id":"2306.03933","title":"High-dimensional and Permutation Invariant Anomaly Detection","created":"2023-06-06","cited_by_count":12,"area":null},{"id":"2407.11734","title":"Multi-Modal and Multi-Attribute Generation of Single Cells with CFGen","created":"2024-07-16","cited_by_count":12,"area":null},{"id":"2409.06029","title":"SongCreator: Lyrics-based Universal Song Generation","created":"2024-09-09","cited_by_count":12,"area":null},{"id":"2309.01590","title":"Probabilistic Precision and Recall Towards Reliable Evaluation of Generative Models","created":"2023-09-04","cited_by_count":11,"area":null},{"id":"2312.05915","title":"Diffusion for Natural Image Matting","created":"2023-12-10","cited_by_count":11,"area":null}],"next_cursor":"100"}