ControlVAR: Exploring Controllable Visual Autoregressive Modeling

14 June 2024

Xiang Li

Hao Chen

Bhiksha Raj

Papers citing "ControlVAR: Exploring Controllable Visual Autoregressive Modeling"

30 / 30 papers shown

Title
Unified Multimodal Understanding and Generation Models: Advances, Challenges, and Opportunities Wei Wei Jintao Guo Shanshan Zhao Minghao Fu Lunhao Duan Guo-Hua Wang Qing-Guo Chen Zhao Xu Weihua Luo Kaifu Zhang DiffM 116 0 0 05 May 2025
Step1X-Edit: A Practical Framework for General Image Editing Shixuan Liu Yucheng Han Peng Xing Fukun Yin Rui Wang ... Yibo Zhu Binxing Jiao Wei Wei Gang Yu Daxin Jiang DiffM 126 9 0 24 Apr 2025
Robust Latent Matters: Boosting Image Generation with Sampling Error Synthesis Kai Qiu Xianrui Li Jason Kuen Hong Chen Xiaohao Xu Jiuxiang Gu Yinyi Luo Bhiksha Raj Zhe Lin Marios Savvides 76 1 0 11 Mar 2025
PanoLlama: Generating Endless and Coherent Panoramas with Next-Token-Prediction LLMs Teng Zhou Xiaoyu Zhang Yongchuan Tang MLLM DiffM 128 1 0 24 Nov 2024
ControlAR: Controllable Image Generation with Autoregressive Models Zongming Li Tianheng Cheng Shoufa Chen Peize Sun Haocheng Shen Longjin Ran Xiaoxin Chen Wenyu Liu Xinggang Wang DiffM 181 17 0 03 Oct 2024
DreamMatcher: Appearance Matching Self-Attention for Semantically-Consistent Text-to-Image Personalization Jisu Nam Heesu Kim Dongjae Lee Siyoon Jin Seungryong Kim Seunggyu Chang DiffM 40 40 0 15 Feb 2024
Customization Assistant for Text-to-image Generation Yufan Zhou Ruiyi Zhang Jiuxiang Gu Tongfei Sun DiffM 44 11 0 05 Dec 2023
X-Adapter: Adding Universal Compatibility of Plugins for Upgraded Diffusion Model L. Ran Xiaodong Cun Jia-Wei Liu Rui Zhao Song Zijie Xintao Wang Jussi Keppo Mike Zheng Shou 50 12 0 04 Dec 2023
CLiC: Concept Learning in Context Mehdi Safaee Aryan Mikaeili Or Patashnik Daniel Cohen-Or Ali Mahdavi-Amiri 39 11 0 28 Nov 2023
On the De-duplication of LAION-2B Ryan Webster Julien Rabin Loïc Simon F. Jurie DiffM 18 40 0 17 Mar 2023
GPT-4 Technical Report OpenAI OpenAI OpenAI Josh Achiam Steven Adler Sandhini Agarwal Lama Ahmad ... Shengjia Zhao Tianhao Zheng Juntang Zhuang William Zhuk Barret Zoph LLMAG MLLM 305 13,788 0 15 Mar 2023
Adding Conditional Control to Text-to-Image Diffusion Models Lvmin Zhang Anyi Rao Maneesh Agrawala AI4CE 46 4,015 1 10 Feb 2023
What Makes Good Examples for Visual In-Context Learning? Yuanhan Zhang Kaiyang Zhou Ziwei Liu MLLM VPVLM VLM LRM 38 110 0 31 Jan 2023
ReCo: Region-Controlled Text-to-Image Generation Zhengyuan Yang Jianfeng Wang Zhe Gan Linjie Li Kevin Qinghong Lin ... Nan Duan Zicheng Liu Ce Liu Michael Zeng Lijuan Wang DiffM 74 143 0 23 Nov 2022
Versatile Diffusion: Text, Images and Variations All in One Diffusion Model Xingqian Xu Zhangyang Wang Eric Zhang Kai Wang Humphrey Shi DiffM 59 192 0 15 Nov 2022
Re-Imagen: Retrieval-Augmented Text-to-Image Generator Wenhu Chen Hexiang Hu Chitwan Saharia William W. Cohen VLM 142 167 0 29 Sep 2022
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion Rinon Gal Yuval Alaluf Yuval Atzmon Or Patashnik Amit H. Bermano Gal Chechik Daniel Cohen-Or 56 1,837 0 02 Aug 2022
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 49 3,786 0 26 Jul 2022
Autoregressive Image Generation using Residual Quantization Doyup Lee Chiheon Kim Saehoon Kim Minsu Cho Wook-Shin Han VGen 207 343 0 03 Mar 2022
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models Alex Nichol Prafulla Dhariwal Aditya A. Ramesh Pranav Shyam Pamela Mishkin Bob McGrew Ilya Sutskever Mark Chen 189 3,531 0 20 Dec 2021
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations Chenlin Meng Yutong He Yang Song Jiaming Song Jiajun Wu Jun-Yan Zhu Stefano Ermon DiffM 85 1,446 0 02 Aug 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 28 667 0 10 Jun 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 286 4,873 0 24 Feb 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 115 3,599 0 18 Feb 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 234 6,293 0 26 Nov 2020
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer René Ranftl Katrin Lasinger David Hafner Konrad Schindler V. Koltun MDE 143 1,765 0 02 Jul 2019
Improved Precision and Recall Metric for Assessing Generative Models Tuomas Kynkaanniemi Tero Karras S. Laine J. Lehtinen Timo Aila EGVM 61 844 0 15 Apr 2019
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 139 4,928 0 02 Nov 2017
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 321 8,999 0 10 Jun 2016
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 353 27,231 0 02 Dec 2015