{"total":29,"rows":[{"id":"2404.02905","title":"Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction","created":"2024-04-03","cited_by_count":1023,"area":"diffusion"},{"id":"2409.18869","title":"Emu3: Next-Token Prediction is All You Need","created":"2024-09-27","cited_by_count":781,"area":"diffusion"},{"id":"2310.05737","title":"Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation","created":"2023-10-09","cited_by_count":640,"area":"diffusion"},{"id":"2409.04429","title":"VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation","created":"2024-09-06","cited_by_count":295,"area":"diffusion"},{"id":"2404.04465","title":"Aligning Diffusion Models by Optimizing Human Utility","created":"2024-04-06","cited_by_count":101,"area":"diffusion"},{"id":"2311.17137","title":"Generative Models: What Do They Know? Do They Know Things? Let's Find Out!","created":"2023-11-28","cited_by_count":50,"area":"diffusion"},{"id":"2311.18608","title":"Contrastive Denoising Score for Text-guided Latent Diffusion Image Editing","created":"2023-11-30","cited_by_count":49,"area":"diffusion"},{"id":"2410.20280","title":"MarDini: Masked Autoregressive Diffusion for Video Generation at Scale","created":"2024-10-26","cited_by_count":49,"area":"diffusion"},{"id":"2407.07614","title":"MARS: Mixture of Auto-Regressive Models for Fine-grained Text-to-image Synthesis","created":"2024-07-10","cited_by_count":44,"area":"diffusion"},{"id":"2404.14403","title":"GeoDiffuser: Geometry-Based Image Editing with Diffusion Models","created":"2024-04-22","cited_by_count":34,"area":"diffusion"},{"id":"2401.13974","title":"BootPIG: Bootstrapping Zero-shot Personalized Image Generation Capabilities in Pretrained Diffusion Models","created":"2024-01-25","cited_by_count":27,"area":"diffusion"},{"id":"2406.05478","title":"Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis","created":"2024-06-08","cited_by_count":22,"area":"diffusion"},{"id":"2310.11311","title":"Elucidating The Design Space of Classifier-Guided Diffusion Generation","created":"2023-10-17","cited_by_count":18,"area":"diffusion"},{"id":"2411.18936","title":"Self-Cross Diffusion Guidance for Text-to-Image Synthesis of Similar Subjects","created":"2024-11-28","cited_by_count":16,"area":"diffusion"},{"id":"2311.00618","title":"De-Diffusion Makes Text a Strong Cross-Modal Interface","created":"2023-11-01","cited_by_count":14,"area":"diffusion"},{"id":"2410.05591","title":"TweedieMix: Improving Multi-Concept Fusion for Diffusion-based Image/Video Generation","created":"2024-10-08","cited_by_count":14,"area":"diffusion"},{"id":"2506.23589","title":"Transition Matching: Scalable and Flexible Generative Modeling","created":"2025-06-30","cited_by_count":11,"area":"diffusion"},{"id":"2412.04432","title":"Divot: Diffusion Powers Video Tokenizer for Comprehension and Generation","created":"2024-12-05","cited_by_count":9,"area":"diffusion"},{"id":"2412.20800","title":"VMix: Improving Text-to-Image Diffusion Model with Cross-Attention Mixing Control","created":"2024-12-30","cited_by_count":9,"area":"diffusion"},{"id":"2407.06304","title":"VIMI: Grounding Video Generation through Multi-modal Instruction","created":"2024-07-08","cited_by_count":8,"area":"diffusion"},{"id":"2410.19079","title":"BIFR\\\"OST: 3D-Aware Image compositing with Language Instructions","created":"2024-10-24","cited_by_count":4,"area":"diffusion"},{"id":"2412.03255","title":"DynamicControl: Adaptive Condition Selection for Improved Text-to-Image Generation","created":"2024-12-04","cited_by_count":3,"area":"diffusion"},{"id":"2403.14944","title":"CLIP-VQDiffusion : Langauge Free Training of Text To Image generation using CLIP and vector quantized diffusion model","created":"2024-03-22","cited_by_count":2,"area":"diffusion"},{"id":"2410.12700","title":"Embedding an Ethical Mind: Aligning Text-to-Image Synthesis via Lightweight Value Optimization","created":"2024-10-16","cited_by_count":2,"area":"diffusion"},{"id":"2412.05984","title":"Nested Diffusion Models Using Hierarchical Latent Priors","created":"2024-12-08","cited_by_count":2,"area":"diffusion"},{"id":"2312.16218","title":"Hyper-VolTran: Fast and Generalizable One-Shot Image to 3D Object Structure via HyperNetworks","created":"2023-12-24","cited_by_count":1,"area":"diffusion"},{"id":"2510.06131","title":"Discrete Diffusion Models with MLLMs for Unified Medical Multimodal Generation","created":"2025-10-07","cited_by_count":1,"area":"diffusion"},{"id":"2605.20316","title":"FullFlow: Upgrading Text-to-Image Flow Matching Models for Bidirectional Vision--Language Generation","created":"2026-05-19","cited_by_count":0,"area":"diffusion"},{"id":"2610.14999","title":"DiffGA: Steering Frozen Diffusion Models for Materials Design via Evolutionary Search","created":"2026-10-10","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}