FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching
Fuente:
arXiv
Saved in:
| Main Authors: | Ren, Sucheng, Yu, Qihang, He, Ju, Shen, Xiaohui, Yuille, Alan, Chen, Liang-Chieh |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Frequency-Aware Flow Matching for High-Quality Image Generation
by: Ren, Sucheng, et al.
Published: (2026)
by: Ren, Sucheng, et al.
Published: (2026)
Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation
by: Ren, Sucheng, et al.
Published: (2025)
by: Ren, Sucheng, et al.
Published: (2025)
Grouping First, Attending Smartly: Training-Free Acceleration for Diffusion Transformers
by: Ren, Sucheng, et al.
Published: (2025)
by: Ren, Sucheng, et al.
Published: (2025)
M-VAR: Decoupled Scale-wise Autoregressive Modeling for High-Quality Image Generation
by: Ren, Sucheng, et al.
Published: (2024)
by: Ren, Sucheng, et al.
Published: (2024)
Randomized Autoregressive Visual Generation
by: Yu, Qihang, et al.
Published: (2024)
by: Yu, Qihang, et al.
Published: (2024)
FlowTok: Flowing Seamlessly Across Text and Image Tokens
by: He, Ju, et al.
Published: (2025)
by: He, Ju, et al.
Published: (2025)
ViTamin: Designing Scalable Vision Models in the Vision-Language Era
by: Chen, Jieneng, et al.
Published: (2024)
by: Chen, Jieneng, et al.
Published: (2024)
On Computational Limits of FlowAR Models: Expressivity and Efficiency
by: Cao, Yang, et al.
Published: (2025)
by: Cao, Yang, et al.
Published: (2025)
A Simple Video Segmenter by Tracking Objects Along Axial Trajectories
by: He, Ju, et al.
Published: (2023)
by: He, Ju, et al.
Published: (2023)
ReVision: Refining Video Diffusion with Explicit 3D Motion Modeling
by: Liu, Qihao, et al.
Published: (2025)
by: Liu, Qihao, et al.
Published: (2025)
Autoregressive Image Generation with Masked Bit Modeling
by: Yu, Qihang, et al.
Published: (2026)
by: Yu, Qihang, et al.
Published: (2026)
Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models and Time-Dependent Layer Normalization
by: Liu, Qihao, et al.
Published: (2024)
by: Liu, Qihao, et al.
Published: (2024)
ARVideo: Autoregressive Pretraining for Self-Supervised Video Representation Learning
by: Ren, Sucheng, et al.
Published: (2024)
by: Ren, Sucheng, et al.
Published: (2024)
Autoregressive Video Generation beyond Next Frames Prediction
by: Ren, Sucheng, et al.
Published: (2025)
by: Ren, Sucheng, et al.
Published: (2025)
Dictionary-based Framework for Interpretable and Consistent Object Parsing
by: Zhang, Tiezheng, et al.
Published: (2025)
by: Zhang, Tiezheng, et al.
Published: (2025)
Democratizing Text-to-Image Masked Generative Models with Compact Text-Aware One-Dimensional Tokens
by: Kim, Dongwon, et al.
Published: (2025)
by: Kim, Dongwon, et al.
Published: (2025)
ViMix-14M: A Curated Multi-Source Video-Text Dataset with Long-Form, High-Quality Captions and Crawl-Free Access
by: Yang, Timing, et al.
Published: (2025)
by: Yang, Timing, et al.
Published: (2025)
Large Language Models are Universal Reasoners for Visual Generation
by: Ren, Sucheng, et al.
Published: (2026)
by: Ren, Sucheng, et al.
Published: (2026)
An Image is Worth 32 Tokens for Reconstruction and Generation
by: Yu, Qihang, et al.
Published: (2024)
by: Yu, Qihang, et al.
Published: (2024)
Autoregressive Pretraining with Mamba in Vision
by: Ren, Sucheng, et al.
Published: (2024)
by: Ren, Sucheng, et al.
Published: (2024)
Rejuvenating image-GPT as Strong Visual Representation Learners
by: Ren, Sucheng, et al.
Published: (2023)
by: Ren, Sucheng, et al.
Published: (2023)
MaskBit: Embedding-free Image Generation via Bit Tokens
by: Weber, Mark, et al.
Published: (2024)
by: Weber, Mark, et al.
Published: (2024)
COCONut: Modernizing COCO Segmentation
by: Deng, Xueqing, et al.
Published: (2024)
by: Deng, Xueqing, et al.
Published: (2024)
Autoregressive Flow Matching for Motion Prediction
by: Xie, Johnathan, et al.
Published: (2025)
by: Xie, Johnathan, et al.
Published: (2025)
Medical Vision Generalist: Unifying Medical Imaging Tasks in Context
by: Ren, Sucheng, et al.
Published: (2024)
by: Ren, Sucheng, et al.
Published: (2024)
ControlAR: Controllable Image Generation with Autoregressive Models
by: Li, Zongming, et al.
Published: (2024)
by: Li, Zongming, et al.
Published: (2024)
HResFormer: Hybrid Residual Transformer for Volumetric Medical Image Segmentation
by: Ren, Sucheng, et al.
Published: (2024)
by: Ren, Sucheng, et al.
Published: (2024)
ViT-5: Vision Transformers for The Mid-2020s
by: Wang, Feng, et al.
Published: (2026)
by: Wang, Feng, et al.
Published: (2026)
FlashAR: Efficient Post-Training Acceleration for Autoregressive Image Generation
by: Zhou, Junkang, et al.
Published: (2026)
by: Zhou, Junkang, et al.
Published: (2026)
A Training-Free Style-aligned Image Generation with Scale-wise Autoregressive Model
by: Park, Jihun, et al.
Published: (2025)
by: Park, Jihun, et al.
Published: (2025)
CurveFlow: Curvature-Guided Flow Matching for Image Generation
by: Luo, Yan, et al.
Published: (2025)
by: Luo, Yan, et al.
Published: (2025)
SPFormer: Enhancing Vision Transformer with Superpixel Representation
by: Mei, Jieru, et al.
Published: (2024)
by: Mei, Jieru, et al.
Published: (2024)
SenseFlow: Scaling Distribution Matching for Flow-based Text-to-Image Distillation
by: Ge, Xingtong, et al.
Published: (2025)
by: Ge, Xingtong, et al.
Published: (2025)
Rethinking Test Time Scaling for Flow-Matching Generative Models
by: Yu, Qingtao, et al.
Published: (2025)
by: Yu, Qingtao, et al.
Published: (2025)
DCoAR: Deep Concept Injection into Unified Autoregressive Models for Personalized Text-to-Image Generation
by: Wu, Fangtai, et al.
Published: (2025)
by: Wu, Fangtai, et al.
Published: (2025)
AR-RAG: Autoregressive Retrieval Augmentation for Image Generation
by: Qi, Jingyuan, et al.
Published: (2025)
by: Qi, Jingyuan, et al.
Published: (2025)
FlowInOne:Unifying Multimodal Generation as Image-in, Image-out Flow Matching
by: Yi, Junchao, et al.
Published: (2026)
by: Yi, Junchao, et al.
Published: (2026)
Deeply Supervised Flow-Based Generative Models
by: Shin, Inkyu, et al.
Published: (2025)
by: Shin, Inkyu, et al.
Published: (2025)
Enhancing Temporal Consistency in Video Editing by Reconstructing Videos with 3D Gaussian Splatting
by: Shin, Inkyu, et al.
Published: (2024)
by: Shin, Inkyu, et al.
Published: (2024)
COCONut-PanCap: Joint Panoptic Segmentation and Grounded Captions for Fine-Grained Understanding and Generation
by: Deng, Xueqing, et al.
Published: (2025)
by: Deng, Xueqing, et al.
Published: (2025)
Similar Items
-
Frequency-Aware Flow Matching for High-Quality Image Generation
by: Ren, Sucheng, et al.
Published: (2026) -
Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation
by: Ren, Sucheng, et al.
Published: (2025) -
Grouping First, Attending Smartly: Training-Free Acceleration for Diffusion Transformers
by: Ren, Sucheng, et al.
Published: (2025) -
M-VAR: Decoupled Scale-wise Autoregressive Modeling for High-Quality Image Generation
by: Ren, Sucheng, et al.
Published: (2024) -
Randomized Autoregressive Visual Generation
by: Yu, Qihang, et al.
Published: (2024)