{"total":14,"rows":[{"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":"2304.12526","title":"Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models","created":"2023-04-25","cited_by_count":133,"area":"diffusion"},{"id":"2409.16211","title":"MaskBit: Embedding-free Image Generation via Bit Tokens","created":"2024-09-24","cited_by_count":98,"area":"diffusion"},{"id":"2502.03444","title":"Masked Autoencoders Are Effective Tokenizers for Diffusion Models","created":"2025-02-05","cited_by_count":96,"area":"diffusion"},{"id":"2410.01756","title":"ImageFolder: Autoregressive Image Generation with Folded Tokens","created":"2024-10-02","cited_by_count":94,"area":"diffusion"},{"id":"2305.00562","title":"Class-Balancing Diffusion Models","created":"2023-04-30","cited_by_count":48,"area":"diffusion"},{"id":"2503.11056","title":"Flow to the Mode: Mode-Seeking Diffusion Autoencoders for State-of-the-Art Image Tokenization","created":"2025-03-14","cited_by_count":36,"area":"diffusion"},{"id":"2212.04473","title":"Diffusion Guided Domain Adaptation of Image Generators","created":"2022-12-08","cited_by_count":35,"area":"diffusion"},{"id":"2211.16374","title":"DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model","created":"2022-11-29","cited_by_count":32,"area":"diffusion"},{"id":"2302.08510","title":"Text-driven Visual Synthesis with Latent Diffusion Prior","created":"2023-02-16","cited_by_count":6,"area":"diffusion"},{"id":"2402.10821","title":"Training Class-Imbalanced Diffusion Model Via Overlap Optimization","created":"2024-02-16","cited_by_count":6,"area":"diffusion"},{"id":"2606.20076","title":"Variable-Length Tokenization via Learnable Global Merging for Diffusion Transformers","created":"2026-06-18","cited_by_count":0,"area":"diffusion"},{"id":"2609.24691","title":"What Makes a Good Medical Image Tokenizer? Rethinking Reconstruction and Generation in Medical Image Tokenization","created":"2026-09-21","cited_by_count":0,"area":"diffusion"},{"id":"2610.16759","title":"Image Tokenizers Should Be Trained Between Images","created":"2026-10-12","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}