Cover Image

ActVAR: Activating Mixtures of Weights and Tokens for Efficient Visual Autoregressive Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Kaixin, Yang, Ruiqing, Zhang, Yuan, You, Shan, Huang, Tao
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning to Expand Images for Efficient Visual Autoregressive Modeling
by: Yang, Ruiqing, et al.
Published: (2025)

FastVAR: Linear Visual Autoregressive Modeling via Cached Token Pruning
by: Guo, Hang, et al.
Published: (2025)

LiteVAR: Compressing Visual Autoregressive Modelling with Efficient Attention and Quantization
by: Xie, Rui, et al.
Published: (2024)

CPC-VAR:Continual Personalized and Compositional Generation in Visual Autoregressive Models
by: Li, Junhao, et al.
Published: (2026)

FlexVAR: Flexible Visual Autoregressive Modeling without Residual Prediction
by: Jiao, Siyu, et al.
Published: (2025)

EVATok: Adaptive Length Video Tokenization for Efficient Visual Autoregressive Generation
by: Xiong, Tianwei, et al.
Published: (2026)

FasterVAR: Plug-and-Play Acceleration for Visual Autoregressive Models
by: Li, Senmao, et al.
Published: (2025)

Diverse and Tailored Image Generation for Zero-shot Multi-label Classification
by: Zhang, Kaixin, et al.
Published: (2024)

Efficient Conditional Generation on Scale-based Visual Autoregressive Models
by: Liu, Jiaqi, et al.
Published: (2025)

Seg-VAR: Image Segmentation with Visual Autoregressive Modeling
by: Zheng, Rongkun, et al.
Published: (2025)

SkipVAR: Accelerating Visual Autoregressive Modeling via Adaptive Frequency-Aware Skipping
by: Li, Jiajun, et al.
Published: (2025)

DreamVAR: Taming Reinforced Visual Autoregressive Model for High-Fidelity Subject-Driven Image Generation
by: Jiang, Xin, et al.
Published: (2026)

Improving Autoregressive Visual Generation with Cluster-Oriented Token Prediction
by: Hu, Teng, et al.
Published: (2025)

StyleVAR: Controllable Image Style Transfer via Visual Autoregressive Modeling
by: Jing, Liqi, et al.
Published: (2026)

RestoreVAR: Visual Autoregressive Generation for All-in-One Image Restoration
by: Rajagopalan, Sudarshan, et al.
Published: (2025)

RemoteVAR: Autoregressive Visual Modeling for Remote Sensing Change Detection
by: Korkmaz, Yilmaz, et al.
Published: (2026)

StepVAR: Structure-Texture Guided Pruning for Visual Autoregressive Models
by: Liu, Keli, et al.
Published: (2026)

VAR RL Done Right: Tackling Asynchronous Policy Conflicts in Visual Autoregressive Generation
by: Sun, Shikun, et al.
Published: (2026)

Selftok: Discrete Visual Tokens of Autoregression, by Diffusion, and for Reasoning
by: Wang, Bohan, et al.
Published: (2025)

Positive Label Is All You Need for Multi-Label Classification
by: Yuan, Zhixiang, et al.
Published: (2023)

Unified Autoregressive Visual Generation and Understanding with Continuous Tokens
by: Fan, Lijie, et al.
Published: (2025)

Bridging Continuous and Discrete Tokens for Autoregressive Visual Generation
by: Wang, Yuqing, et al.
Published: (2025)

ExtraVAR: Stage-Aware RoPE Remapping for Resolution Extrapolation in Visual Autoregressive Models
by: Yan, Feihong, et al.
Published: (2026)

ControlVAR: Exploring Controllable Visual Autoregressive Modeling
by: Li, Xiang, et al.
Published: (2024)

ResTok: Learning Hierarchical Residuals in 1D Visual Tokenizers for Autoregressive Image Generation
by: Zhang, Xu, et al.
Published: (2026)

DiverseVAR: Balancing Diversity and Quality of Next-Scale Visual Autoregressive Models
by: Park, Mingue, et al.
Published: (2025)

VScan: Rethinking Visual Token Reduction for Efficient Large Vision-Language Models
by: Zhang, Ce, et al.
Published: (2025)

HSI-VAR: Rethinking Hyperspectral Restoration through Spatial-Spectral Visual Autoregression
by: Wang, Xiangming, et al.
Published: (2026)

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction
by: Yi, Ran, et al.
Published: (2025)

VAR-CLIP: Text-to-Image Generator with Visual Auto-Regressive Modeling
by: Zhang, Qian, et al.
Published: (2024)

CSD-VAR: Content-Style Decomposition in Visual Autoregressive Models
by: Nguyen, Quang-Binh, et al.
Published: (2025)

AlignVAR: Towards Globally Consistent Visual Autoregression for Image Super-Resolution
by: Liu, Cencen, et al.
Published: (2026)

MedVAR: Towards Scalable and Efficient Medical Image Generation via Next-scale Autoregressive Prediction
by: He, Zhicheng, et al.
Published: (2026)

Vision Foundation Models as Effective Visual Tokenizers for Autoregressive Image Generation
by: Zheng, Anlin, et al.
Published: (2025)

GigaTok: Scaling Visual Tokenizers to 3 Billion Parameters for Autoregressive Image Generation
by: Xiong, Tianwei, et al.
Published: (2025)

Dynamic Mixture-of-Experts for Visual Autoregressive Model
by: Vincenti, Jort, et al.
Published: (2025)

Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation
by: Ren, Sucheng, et al.
Published: (2025)

Frequency Autoregressive Image Generation with Continuous Tokens
by: Yu, Hu, et al.
Published: (2025)

ToProVAR: Efficient Visual Autoregressive Modeling via Tri-Dimensional Entropy-Aware Semantic Analysis and Sparsity Optimization
by: Chen, Jiayu, et al.
Published: (2026)

ALTo: Adaptive-Length Tokenizer for Autoregressive Mask Generation
by: Wang, Lingfeng, et al.
Published: (2025)