{"total":310,"rows":[{"id":"2501.12202","title":"Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation","created":"2025-01-21","cited_by_count":356,"area":"diffusion"},{"id":"2410.10733","title":"Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models","created":"2024-10-14","cited_by_count":217,"area":"diffusion"},{"id":"2403.06976","title":"BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion","created":"2024-03-11","cited_by_count":202,"area":"diffusion"},{"id":"2404.19753","title":"DOCCI: Descriptions of Connected and Contrasting Images","created":"2024-04-30","cited_by_count":132,"area":null},{"id":"2403.17377","title":"Self-Rectifying Diffusion Sampling with Perturbed-Attention Guidance","created":"2024-03-26","cited_by_count":113,"area":"diffusion"},{"id":"2501.06336","title":"MEt3R: Measuring Multi-View Consistency in Generated Images","created":"2025-01-10","cited_by_count":95,"area":null},{"id":"2512.10794","title":"What matters for Representation Alignment: Global Information or Spatial Structure?","created":"2025-12-11","cited_by_count":84,"area":null},{"id":"2403.17827","title":"DiffH2O: Diffusion-Based Synthesis of Hand-Object Interactions from Textual Descriptions","created":"2024-03-26","cited_by_count":62,"area":"diffusion"},{"id":"2503.07703","title":"Seedream 2.0: A Native Chinese-English Bilingual Image Generation Foundation Model","created":"2025-03-10","cited_by_count":62,"area":"diffusion"},{"id":"2312.02150","title":"Readout Guidance: Learning Control from Diffusion Features","created":"2023-12-04","cited_by_count":52,"area":"diffusion"},{"id":"2406.07546","title":"Commonsense-T2I Challenge: Can Text-to-Image Generation Models Understand Commonsense?","created":"2024-06-11","cited_by_count":52,"area":null},{"id":"2505.11278","title":"A Fourier Space Perspective on Diffusion Models","created":"2025-05-16","cited_by_count":52,"area":"diffusion"},{"id":"2404.04095","title":"Dynamic Prompt Optimizing for Text-to-Image Generation","created":"2024-04-05","cited_by_count":45,"area":"diffusion"},{"id":"2404.16820","title":"Revisiting Text-to-Image Evaluation with Gecko: On Metrics, Prompts, and Human Ratings","created":"2024-04-25","cited_by_count":44,"area":null},{"id":"2404.18212","title":"Paint by Inpaint: Learning to Add Image Objects by Removing Them First","created":"2024-04-28","cited_by_count":39,"area":"diffusion"},{"id":"2503.08677","title":"OmniPaint: Mastering Object-Oriented Editing via Disentangled Insertion-Removal Inpainting","created":"2025-03-11","cited_by_count":39,"area":"diffusion"},{"id":"2501.07397","title":"OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data","created":"2025-01-13","cited_by_count":37,"area":null},{"id":"2604.28190","title":"Representation Fr\\'echet Loss for Visual Generation","created":"2026-04-30","cited_by_count":37,"area":null},{"id":"2412.15032","title":"DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space","created":"2024-12-19","cited_by_count":34,"area":"diffusion"},{"id":"2506.20701","title":"Diffusion Tree Sampling: Scalable inference-time alignment of diffusion models","created":"2025-06-25","cited_by_count":34,"area":"diffusion"},{"id":"2403.00025","title":"On the Challenges and Opportunities in Generative AI","created":"2024-02-28","cited_by_count":31,"area":null},{"id":"2510.09263","title":"SynthID-Image: Image watermarking at internet scale","created":"2025-10-10","cited_by_count":31,"area":null},{"id":"2404.01197","title":"Getting it Right: Improving Spatial Consistency in Text-to-Image Models","created":"2024-04-01","cited_by_count":30,"area":null},{"id":"2405.07288","title":"Erasing Concepts from Text-to-Image Diffusion Models with Few-shot Unlearning","created":"2024-05-12","cited_by_count":29,"area":"diffusion"},{"id":"2406.10797","title":"STAR: Scale-wise Text-conditioned AutoRegressive image generation","created":"2024-06-16","cited_by_count":28,"area":null},{"id":"2507.19024","title":"A Survey of Multimodal Hallucination Evaluation and Detection","created":"2025-07-25","cited_by_count":27,"area":"mllm"},{"id":"2502.12089","title":"How Compositional Generalization and Creativity Improve as Diffusion Models are Trained","created":"2025-02-17","cited_by_count":25,"area":"diffusion"},{"id":"2503.00266","title":"Flow Matching for Medical Image Synthesis: Bridging the Gap Between Speed and Quality","created":"2025-03-01","cited_by_count":25,"area":"diffusion"},{"id":"2501.08279","title":"SmartEraser: Remove Anything from Images using Masked-Region Guidance","created":"2025-01-14","cited_by_count":24,"area":null},{"id":"2502.15602","title":"KAD: No More FAD! An Effective and Efficient Evaluation Metric for Audio Generation","created":"2025-02-21","cited_by_count":24,"area":null},{"id":"2403.02944","title":"Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual Fidelity","created":"2024-03-05","cited_by_count":23,"area":null},{"id":"2505.06068","title":"Noise-Consistent Siamese-Diffusion for Medical Image Synthesis and Segmentation","created":"2025-05-09","cited_by_count":23,"area":null},{"id":"2505.23253","title":"UniTEX: Universal High Fidelity Generative Texturing for 3D Shapes","created":"2025-05-29","cited_by_count":23,"area":null},{"id":"2602.03828","title":"AutoFigure: Generating and Refining Publication-Ready Scientific Illustrations","created":"2026-02-03","cited_by_count":23,"area":null},{"id":"2402.05919","title":"Collaborative Control for Geometry-Conditioned PBR Image Generation","created":"2024-02-08","cited_by_count":22,"area":null},{"id":"2408.12692","title":"Rethinking Training for De-biasing Text-to-Image Generation: Unlocking the Potential of Stable Diffusion","created":"2024-08-22","cited_by_count":22,"area":"diffusion"},{"id":"2410.05203","title":"Beyond FVD: Enhanced Evaluation Metrics for Video Generation Quality","created":"2024-10-07","cited_by_count":22,"area":null},{"id":"2404.01367","title":"Bigger is not Always Better: Scaling Properties of Latent Diffusion Models","created":"2024-04-01","cited_by_count":21,"area":"diffusion"},{"id":"2503.16669","title":"Aligning Text-to-Music Evaluation with Human Preferences","created":"2025-03-20","cited_by_count":21,"area":"alignment"},{"id":"2509.10127","title":"Population-Aligned Persona Generation for LLM-based Social Simulation","created":"2025-09-12","cited_by_count":21,"area":null},{"id":"2405.01461","title":"SATO: Stable Text-to-Motion Framework","created":"2024-05-02","cited_by_count":20,"area":null},{"id":"2503.19011","title":"RomanTex: Decoupling 3D-aware Rotary Positional Embedded Multi-Attention Network for Texture Synthesis","created":"2025-03-24","cited_by_count":20,"area":"diffusion"},{"id":"2406.09368","title":"CLIPAway: Harmonizing Focused Embeddings for Removing Objects via Diffusion Models","created":"2024-06-13","cited_by_count":19,"area":"diffusion"},{"id":"2412.01496","title":"Fr\\'echet Radiomic Distance (FRD): A Versatile Metric for Comparing Medical Imaging Datasets","created":"2024-12-02","cited_by_count":19,"area":null},{"id":"2508.09977","title":"A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation","created":"2025-08-13","cited_by_count":19,"area":null},{"id":"2409.19128","title":"Pruning then Reweighting: Towards Data-Efficient Training of Diffusion Models","created":"2024-09-27","cited_by_count":17,"area":"diffusion"},{"id":"2510.15869","title":"Skyfall-GS: Synthesizing Immersive 3D Urban Scenes from Satellite Imagery","created":"2025-10-17","cited_by_count":17,"area":null},{"id":"2410.05167","title":"Presto! Distilling Steps and Layers for Accelerating Music Generation","created":"2024-10-07","cited_by_count":16,"area":"diffusion"},{"id":"2403.14066","title":"LeFusion: Controllable Pathology Synthesis via Lesion-Focused Diffusion Models","created":"2024-03-21","cited_by_count":15,"area":"diffusion"},{"id":"2403.12636","title":"A Practical Guide to Sample-based Statistical Distances for Evaluating Generative Models in Science","created":"2024-03-19","cited_by_count":14,"area":null},{"id":"2410.02740","title":"Revisit Large-Scale Image-Caption Data in Pre-training Multimodal Foundation Models","created":"2024-10-03","cited_by_count":14,"area":null},{"id":"2502.00968","title":"CoDe: Blockwise Control for Denoising Diffusion Models","created":"2025-02-03","cited_by_count":14,"area":"diffusion"},{"id":"2503.16057","title":"Expert Race: A Flexible Routing Strategy for Scaling Diffusion Transformer with Mixture of Experts","created":"2025-03-20","cited_by_count":14,"area":"diffusion"},{"id":"2402.15170","title":"The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling","created":"2024-02-23","cited_by_count":13,"area":"diffusion"},{"id":"2405.14449","title":"Adversarial Schr\\\"odinger Bridge Matching","created":"2024-05-23","cited_by_count":13,"area":"diffusion"},{"id":"2406.12042","title":"Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models","created":"2024-06-17","cited_by_count":13,"area":"diffusion"},{"id":"2406.02485","title":"Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image Generation","created":"2024-06-04","cited_by_count":12,"area":"diffusion"},{"id":"2505.22450","title":"Position: All Current Generative Fidelity and Diversity Metrics are Flawed","created":"2025-05-28","cited_by_count":12,"area":null},{"id":"2506.01955","title":"Dual-Process Image Generation","created":"2025-06-02","cited_by_count":12,"area":null},{"id":"2405.17035","title":"Glauber Generative Model: Discrete Diffusion Models via Binary Classification","created":"2024-05-27","cited_by_count":11,"area":"diffusion"},{"id":"2504.12574","title":"ForgetMe: Evaluating Selective Forgetting in Generative Models","created":"2025-04-17","cited_by_count":11,"area":"diffusion"},{"id":"2607.02375","title":"Representation Distribution Matching for One-Step Visual Generation","created":"2026-07-02","cited_by_count":11,"area":null},{"id":"2412.16839","title":"Human-Guided Image Generation for Expanding Small-Scale Training Image Datasets","created":"2024-12-22","cited_by_count":10,"area":null},{"id":"2506.05104","title":"Survey on the Evaluation of Generative Models in Music","created":"2025-06-05","cited_by_count":10,"area":null},{"id":"2605.06797","title":"MIND: Monge Inception Distance for Generative Models Evaluation","created":"2026-05-07","cited_by_count":10,"area":null},{"id":"2407.18207","title":"Geometry Fidelity for Spherical Images","created":"2024-07-25","cited_by_count":9,"area":null},{"id":"2410.02601","title":"Diffusion & Adversarial Schr\\\"odinger Bridges via Iterative Proportional Markovian Fitting","created":"2024-10-03","cited_by_count":9,"area":null},{"id":"2502.17160","title":"A Pragmatic Note on Evaluating Generative Models with Fr\\'echet Inception Distance for Retinal Image Synthesis","created":"2025-02-24","cited_by_count":9,"area":null},{"id":"2504.02312","title":"OmniCam: Unified Multimodal Video Generation via Camera Control","created":"2025-04-03","cited_by_count":9,"area":null},{"id":"2505.13358","title":"One-Step Offline Distillation of Diffusion-based Models via Koopman Modeling","created":"2025-05-19","cited_by_count":9,"area":"diffusion"},{"id":"2507.00006","title":"MVGBench: Comprehensive Benchmark for Multi-view Generation Models","created":"2025-06-11","cited_by_count":9,"area":"mllm"},{"id":"2509.18538","title":"GeoRemover: Removing Objects and Their Causal Visual Artifacts","created":"2025-09-23","cited_by_count":9,"area":null},{"id":"2510.01549","title":"MIRA: Towards Mitigating Reward Hacking in Inference-Time Alignment of T2I Diffusion Models","created":"2025-10-02","cited_by_count":9,"area":"diffusion"},{"id":"2406.06537","title":"Interactive Generation of Laparoscopic Videos with Diffusion Models","created":"2024-04-23","cited_by_count":8,"area":"diffusion"},{"id":"2410.07753","title":"Data Augmentation for Surgical Scene Segmentation with Anatomy-Aware Diffusion Models","created":"2024-10-10","cited_by_count":8,"area":"diffusion"},{"id":"2412.02332","title":"SimuScope: Realistic Endoscopic Synthetic Dataset Generation through Surgical Simulation and Diffusion Models","created":"2024-12-03","cited_by_count":8,"area":"diffusion"},{"id":"2506.19441","title":"TTSDS2: Resources and Benchmark for Evaluating Human-Quality Text to Speech Systems","created":"2025-06-24","cited_by_count":8,"area":null},{"id":"2510.08929","title":"Mirror Flow Matching with Heavy-Tailed Priors for Generative Modeling on Convex Domains","created":"2025-10-10","cited_by_count":8,"area":"diffusion"},{"id":"2602.15030","title":"Image Generation with a Sphere Encoder","created":"2026-02-16","cited_by_count":8,"area":"diffusion"},{"id":"2406.06218","title":"Data Augmentation in Earth Observation: A Diffusion Model Approach","created":"2024-06-10","cited_by_count":7,"area":"diffusion"},{"id":"2407.07295","title":"Deformation-Recovery Diffusion Model (DRDM): Instance Deformation for Image Manipulation and Synthesis","created":"2024-07-10","cited_by_count":7,"area":"diffusion"},{"id":"2409.11010","title":"MM2Latent: Text-to-facial image generation and editing in GANs with multimodal assistance","created":"2024-09-17","cited_by_count":7,"area":null},{"id":"2412.13195","title":"CoMPaSS: Enhancing Spatial Understanding in Text-to-Image Diffusion Models","created":"2024-12-17","cited_by_count":7,"area":"diffusion"},{"id":"2503.00838","title":"Foundation Models Secretly Understand Neural Network Weights: Enhancing Hypernetwork Architectures with Foundation Models","created":"2025-03-02","cited_by_count":7,"area":null},{"id":"2504.12515","title":"Event Quality Score (EQS): Assessing the Realism of Simulated Event Camera Streams via Distances in Latent Space","created":"2025-04-16","cited_by_count":7,"area":null},{"id":"2505.12532","title":"Exploring Sparsity for Parameter Efficient Fine Tuning Using Wavelets for Vision","created":"2025-05-18","cited_by_count":7,"area":null},{"id":"2510.08271","title":"SViM3D: Stable Video Material Diffusion for Single Image 3D Generation","created":"2025-10-09","cited_by_count":7,"area":"diffusion"},{"id":"2511.19236","title":"SENTINEL: A Fully End-to-End Language-Action Model for Humanoid Whole Body Control","created":"2025-11-24","cited_by_count":7,"area":null},{"id":"2409.12314","title":"Understanding Implosion in Text-to-Image Generative Models","created":"2024-09-18","cited_by_count":6,"area":"diffusion"},{"id":"2508.10280","title":"High Fidelity Text to Image Generation with Contrastive Alignment and Structural Guidance","created":"2025-08-14","cited_by_count":6,"area":null},{"id":"2510.19127","title":"Steering Autoregressive Music Generation with Recursive Feature Machines","created":"2025-10-21","cited_by_count":6,"area":null},{"id":"2512.04082","title":"PosterCopilot: Toward Layout Reasoning and Controllable Editing for Professional Graphic Design","created":"2025-12-03","cited_by_count":6,"area":null},{"id":"2604.24833","title":"MotionBricks: Scalable Real-Time Motions with Modular Latent Generative Model and Smart Primitives","created":"2026-04-27","cited_by_count":6,"area":null},{"id":"2403.00570","title":"Rethinking cluster-conditioned diffusion models for label-free image synthesis","created":"2024-03-01","cited_by_count":5,"area":"diffusion"},{"id":"2407.08019","title":"Coherent and Multi-modality Image Inpainting via Latent Space Optimization","created":"2024-07-10","cited_by_count":5,"area":"diffusion"},{"id":"2409.02529","title":"Sample what you cant compress","created":"2024-09-04","cited_by_count":5,"area":null},{"id":"2410.05057","title":"SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification","created":"2024-10-07","cited_by_count":5,"area":null},{"id":"2410.22592","title":"GRADE: Quantifying Sample Diversity in Text-to-Image Models","created":"2024-10-29","cited_by_count":5,"area":null},{"id":"2502.01416","title":"Categorical Schr\\\"odinger Bridge Matching","created":"2025-02-03","cited_by_count":5,"area":null},{"id":"2506.10955","title":"ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems","created":"2025-06-12","cited_by_count":5,"area":"diffusion"}],"next_cursor":"100"}