{"total":299,"rows":[{"id":"2309.03453","title":"SyncDreamer: Generating Multiview-consistent Images from a Single-view Image","created":"2023-09-07","cited_by_count":645,"area":"diffusion"},{"id":"2403.05135","title":"ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment","created":"2024-03-08","cited_by_count":475,"area":"diffusion"},{"id":"2401.12945","title":"Lumiere: A Space-Time Diffusion Model for Video Generation","created":"2024-01-23","cited_by_count":455,"area":"diffusion"},{"id":"2406.13897","title":"CLAY: A Controllable Large-scale Generative Model for Creating High-quality 3D Assets","created":"2024-05-30","cited_by_count":455,"area":"diffusion"},{"id":"2411.15098","title":"OminiControl: Minimal and Universal Control for Diffusion Transformer","created":"2024-11-22","cited_by_count":340,"area":"diffusion"},{"id":"2305.13655","title":"LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models","created":"2023-05-23","cited_by_count":243,"area":"diffusion"},{"id":"2402.03290","title":"InstanceDiffusion: Instance-level Control for Image Generation","created":"2024-02-05","cited_by_count":175,"area":"diffusion"},{"id":"2306.05427","title":"Grounded Text-to-Image Synthesis with Attention Refocusing","created":"2023-06-08","cited_by_count":164,"area":"diffusion"},{"id":"2308.12964","title":"Dense Text-to-Image Generation with Attention Modulation","created":"2023-08-24","cited_by_count":163,"area":"diffusion"},{"id":"2303.11306","title":"Localizing Object-level Shape Variations with Text-to-Image Diffusion Models","created":"2023-03-20","cited_by_count":142,"area":"diffusion"},{"id":"2405.05945","title":"Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformers","created":"2024-05-09","cited_by_count":137,"area":"diffusion"},{"id":"2406.18583","title":"Lumina-Next: Making Lumina-T2X Stronger and Faster with Next-DiT","created":"2024-06-05","cited_by_count":132,"area":"diffusion"},{"id":"2310.07702","title":"ScaleCrafter: Tuning-free Higher-Resolution Visual Generation with Diffusion Models","created":"2023-10-11","cited_by_count":128,"area":"diffusion"},{"id":"2402.14017","title":"D-Flow: Differentiating through Flows for Controlled Generation","created":"2024-02-21","cited_by_count":122,"area":"diffusion"},{"id":"2405.17414","title":"Collaborative Video Diffusion: Consistent Multi-video Generation with Camera Control","created":"2024-05-27","cited_by_count":117,"area":"diffusion"},{"id":"2311.16090","title":"Self-correcting LLM-controlled Diffusion Models","created":"2023-11-27","cited_by_count":113,"area":"diffusion"},{"id":"2306.05178","title":"SyncDiffusion: Coherent Montage via Synchronized Joint Diffusions","created":"2023-06-08","cited_by_count":110,"area":"diffusion"},{"id":"2406.01493","title":"Learning Temporally Consistent Video Depth from Video Diffusion Priors","created":"2024-06-03","cited_by_count":100,"area":"diffusion"},{"id":"2308.05095","title":"LayoutLLM-T2I: Eliciting Layout Guidance from LLM for Text-to-Image Generation","created":"2023-08-09","cited_by_count":92,"area":"diffusion"},{"id":"2401.00896","title":"TrailBlazer: Trajectory Control for Diffusion-Based Video Generation","created":"2023-12-31","cited_by_count":91,"area":"diffusion"},{"id":"2310.13772","title":"TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models","created":"2023-10-20","cited_by_count":87,"area":"diffusion"},{"id":"2403.04279","title":"Controllable Generation with Text-to-Image Diffusion Models: A Survey","created":"2024-03-07","cited_by_count":83,"area":"diffusion"},{"id":"2312.03816","title":"AVID: Any-Length Video Inpainting with Diffusion Model","created":"2023-12-06","cited_by_count":82,"area":"diffusion"},{"id":"2505.09358","title":"Marigold: Affordable Adaptation of Diffusion-Based Image Generators for Image Analysis","created":"2025-05-14","cited_by_count":78,"area":"diffusion"},{"id":"2312.06354","title":"PortraitBooth: A Versatile Portrait Model for Fast Identity-preserved Personalization","created":"2023-12-11","cited_by_count":77,"area":"diffusion"},{"id":"2412.18597","title":"DiTCtrl: Exploring Attention Control in Multi-Modal Diffusion Transformer for Tuning-Free Multi-Prompt Longer Video Generation","created":"2024-12-24","cited_by_count":74,"area":"diffusion"},{"id":"2401.12179","title":"DITTO: Diffusion Inference-Time T-Optimization for Music Generation","created":"2024-01-22","cited_by_count":73,"area":"diffusion"},{"id":"2403.05121","title":"CogView3: Finer and Faster Text-to-Image Generation via Relay Diffusion","created":"2024-03-08","cited_by_count":72,"area":"diffusion"},{"id":"2310.01110","title":"Prompt-tuning latent diffusion models for inverse problems","created":"2023-10-02","cited_by_count":70,"area":"diffusion"},{"id":"2312.02432","title":"Orthogonal Adaptation for Modular Customization of Diffusion Models","created":"2023-12-05","cited_by_count":70,"area":"diffusion"},{"id":"2302.13153","title":"Directed Diffusion: Direct Control of Object Placement through Attention Guidance","created":"2023-02-25","cited_by_count":69,"area":"diffusion"},{"id":"2403.16990","title":"Be Yourself: Bounded Attention for Multi-Subject Text-to-Image Generation","created":"2024-03-25","cited_by_count":69,"area":"diffusion"},{"id":"2503.18352","title":"Diffusion-4K: Ultra-High-Resolution Image Synthesis with Latent Diffusion Models","created":"2025-03-24","cited_by_count":65,"area":"diffusion"},{"id":"2306.13754","title":"Zero-shot spatial layout conditioning for text-to-image diffusion models","created":"2023-06-23","cited_by_count":64,"area":"diffusion"},{"id":"2403.10983","title":"OMG: Occlusion-friendly Personalized Multi-concept Generation in Diffusion Models","created":"2024-03-16","cited_by_count":64,"area":"diffusion"},{"id":"2312.02190","title":"Diffusion Handles: Enabling 3D Edits for Diffusion Models by Lifting Activations to 3D","created":"2023-12-02","cited_by_count":59,"area":"diffusion"},{"id":"2403.12963","title":"FouriScale: A Frequency Perspective on Training-Free High-Resolution Image Synthesis","created":"2024-03-19","cited_by_count":59,"area":"diffusion"},{"id":"2406.09750","title":"ControlVAR: Exploring Controllable Visual Autoregressive Modeling","created":"2024-06-14","cited_by_count":58,"area":"diffusion"},{"id":"2306.08645","title":"Training-free Diffusion Model Adaptation for Variable-Sized Text-to-Image Synthesis","created":"2023-06-14","cited_by_count":56,"area":"diffusion"},{"id":"2409.08215","title":"LT3SD: Latent Trees for 3D Scene Diffusion","created":"2024-09-12","cited_by_count":55,"area":"diffusion"},{"id":"2407.00783","title":"Diffusion Models and Representation Learning: A Survey","created":"2024-06-30","cited_by_count":54,"area":"diffusion"},{"id":"2305.11337","title":"RoomDreamer: Text-Driven 3D Indoor Scene Synthesis with Coherent Geometry and Texture","created":"2023-05-18","cited_by_count":53,"area":"diffusion"},{"id":"2404.11565","title":"MoA: Mixture-of-Attention for Subject-Context Disentanglement in Personalized Image Generation","created":"2024-04-17","cited_by_count":51,"area":"diffusion"},{"id":"2309.01700","title":"ControlMat: A Controlled Generative Approach to Material Capture","created":"2023-09-04","cited_by_count":50,"area":"diffusion"},{"id":"2507.03745","title":"StreamDiT: Real-Time Streaming Text-to-Video Generation","created":"2025-07-04","cited_by_count":48,"area":"diffusion"},{"id":"2310.18840","title":"Customizing 360-Degree Panoramas through Text-to-Image Diffusion Models","created":"2023-10-28","cited_by_count":47,"area":"diffusion"},{"id":"2312.03048","title":"DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control","created":"2023-12-05","cited_by_count":45,"area":"diffusion"},{"id":"2402.08095","title":"Convergence Analysis of Discrete Diffusion Model: Exact Implementation through Uniformization","created":"2024-02-12","cited_by_count":44,"area":"diffusion"},{"id":"2408.15239","title":"Generative Inbetweening: Adapting Image-to-Video Models for Keyframe Interpolation","created":"2024-08-27","cited_by_count":44,"area":"diffusion"},{"id":"2409.02097","title":"LinFusion: 1 GPU, 1 Minute, 16K Image","created":"2024-09-03","cited_by_count":43,"area":"diffusion"},{"id":"2405.15986","title":"Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity","created":"2024-05-24","cited_by_count":42,"area":"diffusion"},{"id":"2410.14324","title":"HiCo: Hierarchical Controllable Diffusion Model for Layout-to-image Generation","created":"2024-10-18","cited_by_count":41,"area":"diffusion"},{"id":"2305.18676","title":"LayerDiffusion: Layered Controlled Image Editing with Diffusion Models","created":"2023-05-30","cited_by_count":40,"area":"diffusion"},{"id":"2312.07330","title":"Learned representation-guided diffusion models for large-image generation","created":"2023-12-12","cited_by_count":40,"area":"diffusion"},{"id":"2502.04847","title":"HumanDiT: Pose-Guided Diffusion Transformer for Long-form Human Motion Video Generation","created":"2025-02-07","cited_by_count":39,"area":"diffusion"},{"id":"2504.13109","title":"UniEdit-Flow: Unleashing Inversion and Editing in the Era of Flow Models","created":"2025-04-17","cited_by_count":39,"area":"diffusion"},{"id":"2311.18822","title":"ElasticDiffusion: Training-free Arbitrary Size Image Generation through Global-Local Content Separation","created":"2023-11-30","cited_by_count":37,"area":"diffusion"},{"id":"2308.16582","title":"Any-Size-Diffusion: Toward Efficient Text-Driven Synthesis for Any-Size HD Images","created":"2023-08-31","cited_by_count":36,"area":"diffusion"},{"id":"2407.15861","title":"Adversarial Attacks and Defenses on Text-to-Image Diffusion Models: A Survey","created":"2024-07-10","cited_by_count":35,"area":"diffusion"},{"id":"2305.08850","title":"Make-A-Protagonist: Generic Video Editing with An Ensemble of Experts","created":"2023-05-15","cited_by_count":34,"area":"diffusion"},{"id":"2403.18211","title":"NeuroPictor: Refining fMRI-to-Image Reconstruction via Multi-individual Pretraining and Multi-level Modulation","created":"2024-03-27","cited_by_count":34,"area":"diffusion"},{"id":"2406.18459","title":"DiffuseHigh: Training-free Progressive High-Resolution Image Synthesis through Structure Guidance","created":"2024-06-26","cited_by_count":34,"area":"diffusion"},{"id":"2501.01097","title":"EliGen: Entity-Level Controlled Image Generation with Regional Attention","created":"2025-01-02","cited_by_count":33,"area":"diffusion"},{"id":"2502.20235","title":"Attention Distillation: A Unified Approach to Visual Characteristics Transfer","created":"2025-02-27","cited_by_count":33,"area":"diffusion"},{"id":"2411.18810","title":"All Seeds Are Not Equal: Enhancing Compositional Text-to-Image Generation with Reliable Random Seeds","created":"2024-11-27","cited_by_count":31,"area":"diffusion"},{"id":"2305.05189","title":"SUR-adapter: Enhancing Text-to-Image Pre-trained Diffusion Models with Large Language Models","created":"2023-05-09","cited_by_count":30,"area":"diffusion"},{"id":"2412.09626","title":"FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion","created":"2024-12-12","cited_by_count":30,"area":"diffusion"},{"id":"2306.00950","title":"Differential Diffusion: Giving Each Pixel Its Strength","created":"2023-06-01","cited_by_count":29,"area":"diffusion"},{"id":"2311.17528","title":"HiDiffusion: Unlocking Higher-Resolution Creativity and Efficiency in Pretrained Diffusion Models","created":"2023-11-29","cited_by_count":29,"area":"diffusion"},{"id":"2407.16698","title":"Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions","created":"2024-07-23","cited_by_count":29,"area":"diffusion"},{"id":"2409.19365","title":"Conditional Image Synthesis with Diffusion Models: A Survey","created":"2024-09-28","cited_by_count":29,"area":"diffusion"},{"id":"2412.16112","title":"CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up","created":"2024-12-20","cited_by_count":28,"area":"diffusion"},{"id":"2307.16183","title":"HD-Fusion: Detailed Text-to-3D Generation Leveraging Multiple Noise Estimation","created":"2023-07-30","cited_by_count":27,"area":"diffusion"},{"id":"2411.02395","title":"Training-free Regional Prompting for Diffusion Transformers","created":"2024-11-04","cited_by_count":27,"area":"diffusion"},{"id":"2305.11577","title":"LeftRefill: Filling Right Canvas based on Left Reference through Generalized Text-to-Image Diffusion Model","created":"2023-05-19","cited_by_count":25,"area":"diffusion"},{"id":"2306.00974","title":"Discovering Failure Modes of Text-guided Diffusion Models via Adversarial Search","created":"2023-06-01","cited_by_count":25,"area":"diffusion"},{"id":"2311.16739","title":"As-Plausible-As-Possible: Plausibility-Aware Mesh Deformation Using 2D Diffusion Priors","created":"2023-11-28","cited_by_count":25,"area":"diffusion"},{"id":"2403.10255","title":"Arbitrary-Scale Image Generation and Upsampling using Latent Diffusion Model and Implicit Neural Decoder","created":"2024-03-15","cited_by_count":25,"area":"diffusion"},{"id":"2408.11001","title":"MegaFusion: Extend Diffusion Models towards Higher-resolution Image Generation without Further Tuning","created":"2024-08-20","cited_by_count":25,"area":"diffusion"},{"id":"2503.18446","title":"Latent Space Super-Resolution for Higher-Resolution Image Generation with Diffusion Models","created":"2025-03-24","cited_by_count":25,"area":"diffusion"},{"id":"2406.07792","title":"Hierarchical Patch Diffusion Models for High-Resolution Video Generation","created":"2024-06-12","cited_by_count":24,"area":"diffusion"},{"id":"2407.15187","title":"HoloDreamer: Holistic 3D Panoramic World Generation from Text Descriptions","created":"2024-07-21","cited_by_count":24,"area":"diffusion"},{"id":"2410.20474","title":"GrounDiT: Grounding Diffusion Transformers via Noisy Patch Transplantation","created":"2024-10-27","cited_by_count":24,"area":"diffusion"},{"id":"2412.11100","title":"DynamicScaler: Seamless and Scalable Video Generation for Panoramic Scenes","created":"2024-12-15","cited_by_count":24,"area":"diffusion"},{"id":"2505.05474","title":"3D Scene Generation: A Survey","created":"2025-05-08","cited_by_count":24,"area":"diffusion"},{"id":"2307.04787","title":"Collaborative Score Distillation for Consistent Visual Synthesis","created":"2023-07-04","cited_by_count":23,"area":"diffusion"},{"id":"2310.06347","title":"JointNet: Extending Text-to-Image Diffusion for Dense Distribution Modeling","created":"2023-10-10","cited_by_count":23,"area":"diffusion"},{"id":"2403.02084","title":"ResAdapter: Domain Consistent Resolution Adapter for Diffusion Models","created":"2024-03-04","cited_by_count":23,"area":"diffusion"},{"id":"2403.03881","title":"Unlocking Dataset Distillation with Diffusion Models","created":"2024-03-06","cited_by_count":23,"area":"diffusion"},{"id":"2404.11615","title":"Factorized Diffusion: Perceptual Illusions by Noise Decomposition","created":"2024-04-17","cited_by_count":23,"area":"diffusion"},{"id":"2410.07536","title":"I-Max: Maximize the Resolution Potential of Pre-trained Rectified Flow Transformers with Projected Flow","created":"2024-10-10","cited_by_count":23,"area":"diffusion"},{"id":"2412.07761","title":"Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation","created":"2024-12-10","cited_by_count":23,"area":"diffusion"},{"id":"2406.01594","title":"DiffUHaul: A Training-Free Method for Object Dragging in Images","created":"2024-06-03","cited_by_count":22,"area":"diffusion"},{"id":"2406.16476","title":"ResMaster: Mastering High-Resolution Image Generation via Structural and Fine-Grained Guidance","created":"2024-06-24","cited_by_count":22,"area":"diffusion"},{"id":"2311.12342","title":"LoCo: Locally Constrained Training-Free Layout-to-Image Synthesis","created":"2023-11-21","cited_by_count":21,"area":"diffusion"},{"id":"2404.01709","title":"Upsample Guidance: Scale Up Diffusion Models without Training","created":"2024-04-02","cited_by_count":20,"area":"diffusion"},{"id":"2406.18958","title":"AnyControl: Create Your Artwork with Versatile Control on Text-to-Image Generation","created":"2024-06-27","cited_by_count":20,"area":"diffusion"},{"id":"2408.05083","title":"PreciseControl: Enhancing Text-To-Image Diffusion Models with Fine-Grained Attribute Control","created":"2024-07-24","cited_by_count":20,"area":"diffusion"},{"id":"2312.03511","title":"Kandinsky 3.0 Technical Report","created":"2023-12-06","cited_by_count":19,"area":"diffusion"},{"id":"2402.12908","title":"RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models","created":"2024-02-20","cited_by_count":18,"area":"diffusion"}],"next_cursor":"100"}