Data-efficient Large Vision Models through Sequential Autoregression

7 February 2024

Papers citing "Data-efficient Large Vision Models through Sequential Autoregression"

8 / 8 papers shown

Title
Unified Multimodal Understanding and Generation Models: Advances, Challenges, and Opportunities X. Zhang Jintao Guo Shanshan Zhao Minghao Fu Lunhao Duan Guo-Hua Wang Qing-Guo Chen Zhao Xu Weihua Luo Kaifu Zhang DiffM 60 0 0 05 May 2025
Jointly Understand Your Command and Intention:Reciprocal Co-Evolution between Scene-Aware 3D Human Motion Synthesis and Analysis Xuehao Gao Yang Yang Shaoyi Du Guo-Jun Qi Junwei Han 39 1 0 01 Mar 2025
Video In-context Learning: Autoregressive Transformers are Zero-Shot Video Imitators Wentao Zhang Junliang Guo Tianyu He Li Zhao Linli Xu Jiang Bian 32 3 0 10 Jul 2024
Muse: Text-To-Image Generation via Masked Generative Transformers Huiwen Chang Han Zhang Jarred Barber AJ Maschinot José Lezama ... Kevin Patrick Murphy William T. Freeman Michael Rubinstein Yuanzhen Li Dilip Krishnan DiffM 197 515 0 02 Jan 2023
UViM: A Unified Modeling Approach for Vision with Learned Guiding Codes Alexander Kolesnikov André Susano Pinto Lucas Beyer Xiaohua Zhai Jeremiah Harmsen N. Houlsby 103 67 0 20 May 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
Pix2seq: A Language Modeling Framework for Object Detection Ting-Li Chen Saurabh Saxena Lala Li David J. Fleet Geoffrey E. Hinton MLLM ViT VLM 233 341 0 22 Sep 2021
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 225 2,542 0 25 Jan 2016