:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zheng, Hong-Kai, Li, Piji
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2512.03796
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Group-Wise Optimization for Self-Extensible Codebooks in Vector Quantized Models
by: Zheng, Hong-Kai, et al.
Published: (2025)

CAR: Controllable Autoregressive Modeling for Visual Generation
by: Yao, Ziyu, et al.
Published: (2024)

Visual Autoregressive Modeling for Image Super-Resolution
by: Qu, Yunpeng, et al.
Published: (2025)

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

MVAR: Visual Autoregressive Modeling with Scale and Spatial Markovian Conditioning
by: Zhang, Jinhua, et al.
Published: (2025)

Visual Implicit Autoregressive Modeling
by: Jiang, Pengfei, et al.
Published: (2026)

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

Visual Autoregressive Models Beat Diffusion Models on Inference Time Scaling
by: Riise, Erik, et al.
Published: (2025)

Next-Scale Autoregressive Models for Text-to-Motion Generation
by: Zheng, Zhiwei, et al.
Published: (2026)

Diversity Has Always Been There in Your Visual Autoregressive Models
by: Wang, Tong, et al.
Published: (2025)

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

SCALAR: Scale-wise Controllable Visual Autoregressive Learning
by: Xu, Ryan, et al.
Published: (2025)

SSG: Scaled Spatial Guidance for Multi-Scale Visual Autoregressive Generation
by: Shin, Youngwoo, et al.
Published: (2026)

Emergent Outlier View Rejection in Visual Geometry Grounded Transformers
by: Han, Jisang, et al.
Published: (2025)

Depth Adaptive Efficient Visual Autoregressive Modeling
by: Li, Chunliang, et al.
Published: (2026)

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

Customize Your Visual Autoregressive Recipe with Set Autoregressive Modeling
by: Liu, Wenze, et al.
Published: (2024)

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

AMS-KV: Adaptive KV Caching in Multi-Scale Visual Autoregressive Transformers
by: Xu, Boxun, et al.
Published: (2025)

Generative Visual Commonsense Answering and Explaining with Generative Scene Graph Constructing
by: Yuan, Fan, et al.
Published: (2025)

Progressive Supernet Training for Efficient Visual Autoregressive Modeling
by: Chen, Xiaoyue, et al.
Published: (2025)

Visual Self-Refinement for Autoregressive Models
by: Wang, Jiamian, et al.
Published: (2025)

VPN: Visual Prompt Navigation
by: Feng, Shuo, et al.
Published: (2025)

Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling
by: Gu, Jiatao, et al.
Published: (2024)

Markovian Scale Prediction: A New Era of Visual Autoregressive Generation
by: Zhang, Yu, et al.
Published: (2025)

HELPD: Mitigating Hallucination of LVLMs by Hierarchical Feedback Learning with Vision-enhanced Penalty Decoding
by: Yuan, Fan, et al.
Published: (2024)

Fast Autoregressive Models for Continuous Latent Generation
by: Hang, Tiankai, et al.
Published: (2025)

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

Visual Autoregressive Modelling for Monocular Depth Estimation
by: El-Ghoussani, Amir, et al.
Published: (2025)

Neighboring Autoregressive Modeling for Efficient Visual Generation
by: He, Yefei, et al.
Published: (2025)

Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective
by: Zhu, Yongxin, et al.
Published: (2024)

FVAR: Visual Autoregressive Modeling via Next Focus Prediction
by: Li, Xiaofan, et al.
Published: (2025)

Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction
by: Tian, Keyu, et al.
Published: (2024)

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

Towards Sequence Modeling Alignment between Tokenizer and Autoregressive Model
by: Wu, Pingyu, et al.
Published: (2025)

Guiding Visual Autoregressive Models through Spectrum Weakening
by: Wang, Chaoyang, et al.
Published: (2025)

Parallelized Autoregressive Visual Generation
by: Wang, Yuqing, et al.
Published: (2024)

Randomized Autoregressive Visual Generation
by: Yu, Qihang, et al.
Published: (2024)

Visual Autoregressive Modeling for Instruction-Guided Image Editing
by: Mao, Qingyang, et al.
Published: (2025)

Skywork UniPic: Unified Autoregressive Modeling for Visual Understanding and Generation
by: Wang, Peiyu, et al.
Published: (2025)