Autoregressive Image Generation

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Design Your Ad: Personalized Advertising Image and Text Generation with Unified Autoregressive Models
May 12, 2026Yexing Xu, Wei Feng, Shen Zhang +15Online Advertising Multimodal Generation
Sun Yat-Sen University · Northeastern University
Generative AI for Visualizing Highway Construction Hazards Through Synthetic Images and Temporal Sequences
May 11, 2026Trevor Neece, Mason Smetana, Lev KhazanovichImage Generation Autoregressive Image Generation
University of Pittsburgh, Pittsburgh, PA, USA
ExtraVAR: Stage-Aware RoPE Remapping for Resolution Extrapolation in Visual Autoregressive Models
May 11, 2026Feihong Yan, Shaoyu Liu, Haixuan Wang +4Rotary Positional Embeddings Visual Autoregressive Models
Beijing Institute of Technology · Xidian University · Northeastern University at Qinhuangdao +3
FlashAR: Efficient Post-Training Acceleration for Autoregressive Image Generation
May 10, 2026Junkang Zhou, Yefei He, Feng Chen +2Parallel Decoding Autoregressive Image Generation
Zhejiang University, China · University of Adelaide, Australia
STARFlow2: Bridging Language Models and Normalizing Flows for Unified Multimodal Generation
May 8, 2026Ying Shen, Tianrong Chen, Yuan Gao +6Unified Multimodal Models Multimodal Generation
UIUC · Apple
CASCADE: Context-Aware Relaxation for Speculative Image Decoding
May 8, 2026Selin Yildirim, Subhajit Dutta Chowdhury, Mohammad Mahdi Kamani +2Speculative Decoding Autoregressive Image Generation
AMD
Taming the Entropy Cliff: Variable Codebook Size Quantization for Autoregressive Visual Generation
May 7, 2026Bowen Zheng, Weijian Luo, Guang Yang +2Visual Autoregressive Models Vector Quantization
The Chinese University of Hong Kong, Shenzhen · hi-Lab, Xiaohongshu Inc
Learning Discrete Autoregressive Priors with Wasserstein Gradient Flow
May 7, 2026Bowen Zheng, Yihong Luo, Tianyang HuImage Tokenization Visual Tokenization
The Chinese University of Hong Kong, Shenzhen · Hong Kong University of Science and Technology
Autoregressive Visual Generation Needs a Prologue
May 7, 2026Bowen Zheng, Weijian Luo, Guang Yang +2Visual Autoregressive Models Autoregressive Image Generation
The Chinese University of Hong Kong, Shenzhen · hi-Lab, Xiaohongshu Inc
Visual Implicit Autoregressive Modeling
May 2, 2026Pengfei Jiang, Jixiang Luo, Luxi Lin +2Visual Autoregressive Models Autoregressive Image Generation
Institute of Artificial Intelligence (TeleAI), China Telecom · Xiamen University
End-to-End Autoregressive Image Generation with 1D Semantic Tokenizer
May 1, 2026Wenda Chu, Bingliang Zhang, Jiaqi Han +4Image Tokenization Visual Tokenization
ByteDance Seed · California Institute of Technology · Stanford University
VibeToken: Scaling 1D Image Tokenizers and Autoregressive Models for Dynamic Resolution Generations
Apr 27, 2026Maitreya Patel, Jingtao Li, Weiming Zhuang +2Image Tokenization Visual Tokenization
Arizona State University · SonyAI · 3Work partially done while at SonyAI. Maitreya is now at Adobe.
VARestorer: One-Step VAR Distillation for Real-World Image Super-Resolution
Apr 23, 2026Yixuan Zhu, Shilin Ma, Haolin Wang +6Autoregressive Image Generation Knowledge Distillation
Tsinghua University
Normalizing Flows with Iterative Denoising
Apr 21, 2026Tianrong Chen, Jiatao Gu, David Berthelot +2Normalizing Flows Autoregressive Image Generation
Apple Machine Learning Research.
Depth Adaptive Efficient Visual Autoregressive Modeling
Apr 19, 2026Chunliang Li, Tianze Cao, Sanyuan ZhaoEfficient Transformer Inference Visual Autoregressive Models
Beijing Institute of Technology · Beijing Institute of Technology, Zhuhai
(1D) Ordered Tokens Enable Efficient Test-Time Search
Apr 16, 2026Zhitong Gao, Parham Rezaei, Ali Cy +7Image Tokenization Test-Time Scaling
1Swiss Federal Institute of Technology Lausanne (EPFL) · 2Apple
Generative Refinement Networks for Visual Synthesis
Apr 14, 2026Jian Han, Jinlai Liu, Jiahuan Wang +2Text-to-Video Generation T2I Generation
ByteDance
On the Robustness of Watermarking for Autoregressive Image Generation
Apr 13, 2026Andreas Müller, Denis Lukovnikov, Shingo Kodama +5Watermark Removal Robust Watermarking
Ruhr University Bochum · Middlebury College · New York University +2
UniMark: Unified Adaptive Multi-bit Watermarking for Autoregressive Image Generators
Apr 12, 2026Yigit Yilmaz, Elena Petrova, Mehmet Kaya +2Robust Watermarking Autoregressive Image Generation
Bandırma Onyedi Eylül University
MAR-MAER: Metric-Aware and Ambiguity-Adaptive Autoregressive Image Generation
Apr 2, 2026Kai Dong, Tingting BaiT2I Generation Autoregressive Image Generation
Lanzhou Vocational Technical College, China
RAE-AR: Taming Autoregressive Models with Representation Autoencoders
Apr 2, 2026Hu Yu, Hang Xu, Jie Huang +4Autoregressive Image Generation Visual Autoregressive Models
University of Science and Technology of China · JD Explore Academy · The University of Hong Kong
SJD-VP: Speculative Jacobi Decoding with Verification Prediction for Autoregressive Image Generation
Mar 28, 2026Bingqi Shan, Baoquan Zhang, Xiaochen Qi +3Speculative Decoding Autoregressive Image Generation
Harbin Institute of Technology, Shenzhen · Institute of Perceptual Intelligence, Pengcheng Laboratory, Shenzhen · SIFAR
CIAR: Interval-based Collaborative Decoding for Image Generation Acceleration
Mar 26, 2026Keming Ye, Zhou Zhao, Fan Wu +1Image Generation Autoregressive Image Generation
Zhejiang University · Shanghai Jiao Tong University
Semantic-Aware Prefix Learning for Token-Efficient Image Generation
Mar 26, 2026Qingfeng Li, Haoxian Zhang, Xu He +4Visual Tokenization Visual Token Compression
Institute of Automation, Chinese Academy of Sciences · Kling Team, Kuaishou Technology · Tsinghua University
Policy-based Tuning of Autoregressive Image Models with Instance- and Distribution-Level Rewards
Mar 24, 2026Orhun Bugra Baran, Melih Kandemir, Ramazan Gokberk CinbisImage Generation Autoregressive Image Generation
Department of Computer Engineering, Middle East Technical University, Ankara, Türkiye · Department of Mathematics and Computer Science (IMADA), University of Southern Denmark, Odense, Denmark · ROMER Robotics and AI Center, Middle East Technical University, Ankara, Türkiye
SJD-PAC: Accelerating Speculative Jacobi Decoding via Proactive Drafting and Adaptive Continuation
Mar 19, 2026Jialiang Kang, Han Shu, Wenshuo Li +2Speculative Decoding Autoregressive Image Generation
Peking University · Huawei Technologies
Semantic One-Dimensional Tokenizer for Image Reconstruction and Generation
Mar 17, 2026Yunpeng Qu, Kaidong Zhang, Yukang Ding +2Image Tokenization Image Reconstruction
Tsinghua University, Beijing, China · Alibaba Group, Beijing, China
CyCLeGen: Cycle-Consistent Layout Prediction and Image Generation in Vision Foundation Models
Mar 16, 2026Xiaojun Shan, Haoyu Shen, Yucheng Mao +5Image Generation Autoregressive Image Generation
UC San Diego
From Broad Exploration to Stable Synthesis: Entropy-Guided Optimization for Autoregressive Image Generation
Mar 12, 2026Han Song, Yucheng Zhou, Jianbing Shen +1Image Generation Autoregressive Image Generation
The Chinese University of Hong Kong · University of Macau
Image Generation Models: A Technical History
Mar 8, 2026Rouzbeh ShirvaniImage Generation Diffusion-Based Image Generation

May 12, 2026J/K move · Enter open · S save

Design Your Ad: Personalized Advertising Image and Text Generation with Unified Autoregressive Models

Yexing Xu, Wei Feng, Shen Zhang, Haohan Wang+14

Sun Yat-Sen University · Northeastern University

Online Advertising Multimodal Generation Autoregressive Image Generation E-Commerce

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Generating realistic and user-preferred advertisements is a key challenge in e-commerce. Existing approaches utilize multiple independent models driven by click-through-rate (CTR) to controllably create attractive image or text advertisements. However, their pipelines lack cross-modal perception and rely on CTR that only reflects average preferences. Therefore, we explore jointly generating personalized image-text advertisements from historical click behaviors. We first design a Unified Advertisement Generative model (Uni-AdGen) that employs a single autoregressive framework to produce both advertising images and texts. By incorporating a foreground perception module and instruction tuning, Uni-AdGen enhances the realism of the generated content. To further personalize advertisements, we equip Uni-AdGen with a coarse-to-fine preference understanding module that effectively captures user interests from noisy multimodal historical behaviors to drive personalized generation. Additionally, we construct the first large-scale Personalized Advertising image-text dataset (PAd1M) and introduce a Product Background Similarity (PBS) metric to facilitate training and evaluation. Extensive experiments show that our method outperforms baselines in general and personalized advertisement generation. Our project is available at https://github.com/JD-GenX/Uni-AdGen.