{"total":21,"rows":[{"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":"2411.07975","title":"JanusFlow: Harmonizing Autoregression and Rectified Flow for Unified Multimodal Understanding and Generation","created":"2024-11-12","cited_by_count":163,"area":"diffusion"},{"id":"2410.01756","title":"ImageFolder: Autoregressive Image Generation with Folded Tokens","created":"2024-10-02","cited_by_count":94,"area":"diffusion"},{"id":"2406.09750","title":"ControlVAR: Exploring Controllable Visual Autoregressive Modeling","created":"2024-06-14","cited_by_count":58,"area":"diffusion"},{"id":"2601.16208","title":"Scaling Text-to-Image Diffusion Transformers with Representation Autoencoders","created":"2026-01-22","cited_by_count":53,"area":"diffusion"},{"id":"2408.14340","title":"Foundation Models for Music: A Survey","created":"2024-08-26","cited_by_count":37,"area":"diffusion"},{"id":"2410.04671","title":"CAR: Controllable Autoregressive Modeling for Visual Generation","created":"2024-10-07","cited_by_count":30,"area":"diffusion"},{"id":"2310.07653","title":"Mini-DALLE3: Interactive Text to Image by Prompting Large Language Models","created":"2023-10-11","cited_by_count":22,"area":"diffusion"},{"id":"2510.13721","title":"NExT-OMNI: Towards Any-to-Any Omnimodal Foundation Models with Discrete Flow Matching","created":"2025-10-15","cited_by_count":21,"area":"diffusion"},{"id":"2502.20172","title":"Multimodal Representation Alignment for Image Generation: Text-Image Interleaved Control Is Easier Than You Think","created":"2025-02-27","cited_by_count":18,"area":"diffusion"},{"id":"2405.21048","title":"Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling","created":"2024-05-31","cited_by_count":13,"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":"2410.19079","title":"BIFR\\\"OST: 3D-Aware Image compositing with Language Instructions","created":"2024-10-24","cited_by_count":4,"area":"diffusion"},{"id":"2410.05292","title":"CaLMFlow: Volterra Flow Matching using Causal Language Models","created":"2024-10-03","cited_by_count":3,"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":"2511.16917","title":"UniModel: A Visual-Only Framework for Unified Multimodal Understanding and Generation","created":"2025-11-21","cited_by_count":3,"area":"diffusion"},{"id":"2602.04220","title":"Adaptive 1D Video Diffusion Autoencoder","created":"2026-02-04","cited_by_count":3,"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":"2511.21415","title":"DiverseVAR: Balancing Diversity and Quality of Next-Scale Visual Autoregressive Models","created":"2025-11-26","cited_by_count":0,"area":"diffusion"},{"id":"2608.24068","title":"Representation Learning in Diffusion and Flow-based Model: An Application Aspect","created":"2026-08-25","cited_by_count":0,"area":"diffusion"},{"id":"2608.24293","title":"Keep-or-Drop? Adaptive Tokenizer for Compact Video Representation","created":"2026-08-25","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}