In-Context Learning Unlocked for Diffusion Models

1 May 2023

Mingyuan Zhou

Papers citing "In-Context Learning Unlocked for Diffusion Models"

21 / 21 papers shown

Title
Lumina-OmniLV: A Unified Multimodal Framework for General Low-Level Vision Yuandong Pu Le Zhuo Kaiwen Zhu Liangbin Xie Wenlong Zhang Xiangyu Chen Peng Gao Yu Qiao Chao Dong Yihao Liu MLLM 66 1 0 07 Apr 2025
In-Context Learning with Iterative Demonstration Selection Chengwei Qin Aston Zhang Cheng Chen Anirudh Dagar Wenming Ye LRM 68 38 0 31 Dec 2024
PhyT2V: LLM-Guided Iterative Self-Refinement for Physics-Grounded Text-to-Video Generation Qiyao Xue Xiangyu Yin Boyuan Yang Wei Gao DiffM VGen 80 9 0 30 Nov 2024
LaVin-DiT: Large Vision Diffusion Transformer Zhaoqing Wang Xiaobo Xia Runnan Chen Dongdong Yu Changhu Wang Mingming Gong Tongliang Liu 92 6 0 18 Nov 2024
Towards Synergistic, Generalized, and Efficient Dual-System for Robotic Manipulation Qingwen Bu Hongyang Li Li Chen Jisong Cai Jia Zeng Heming Cui Maoqing Yao Yu Qiao 52 4 0 10 Oct 2024
PixWizard: Versatile Image-to-Image Visual Assistant with Open-Language Instructions Weifeng Lin Xinyu Wei Renrui Zhang Le Zhuo Shitian Zhao ... Junlin Xie Junlin Xie Yu Qiao Peng Gao Hongsheng Li MLLM DiffM 57 10 0 23 Sep 2024
Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models Tianqi Chen Shujian Zhang Mingyuan Zhou DiffM 83 3 0 17 Sep 2024
StableNormal: Reducing Diffusion Variance for Stable and Sharp Normal Chongjie Ye Lingteng Qiu Xiaodong Gu Qi Zuo Yushuang Wu Zilong Dong Liefeng Bo Yuliang Xiu Xiaoguang Han DiffM 40 39 0 24 Jun 2024
Diffusion-RPO: Aligning Diffusion Models through Relative Preference Optimization Yi Gu Zhendong Wang Yueqin Yin Yujia Xie Mingyuan Zhou 38 15 0 10 Jun 2024
Explore In-Context Segmentation via Latent Diffusion Models Chaoyang Wang Xiangtai Li Henghui Ding Lu Qi Jiangning Zhang Yunhai Tong Chen Change Loy Shuicheng Yan DiffM 63 6 0 14 Mar 2024
A Simple Latent Diffusion Approach for Panoptic Segmentation and Mask Inpainting Wouter Van Gansbeke Bert De Brabandere DiffM 46 11 0 18 Jan 2024
Low-Resource Vision Challenges for Foundation Models Yunhua Zhang Hazel Doughty Cees G. M. Snoek VLM 30 5 0 09 Jan 2024
Retrieval-augmented Multi-modal Chain-of-Thoughts Reasoning for Large Language Models Bingshuai Liu Chenyang Lyu Zijun Min Zhanyu Wang Jinsong Su Longyue Wang LRM 31 7 0 04 Dec 2023
InstructSeq: Unifying Vision Tasks with Instruction-conditioned Multi-modal Sequence Generation Rongyao Fang Shilin Yan Zhaoyang Huang Jingqiu Zhou Hao Tian Jifeng Dai Hongsheng Li MLLM 45 8 0 30 Nov 2023
POUF: Prompt-oriented unsupervised fine-tuning for large pre-trained models Korawat Tanwisuth Shujian Zhang Huangjie Zheng Pengcheng He Mingyuan Zhou VLM VPVLM 91 28 0 29 Apr 2023
Diffusion-LM Improves Controllable Text Generation Xiang Lisa Li John Thickstun Ishaan Gulrajani Percy Liang Tatsunori B. Hashimoto AI4CE 173 777 0 27 May 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 367 8,495 0 28 Jan 2022
UniFormer: Unifying Convolution and Self-attention for Visual Recognition Kunchang Li Yali Wang Junhao Zhang Peng Gao Guanglu Song Yu Liu Hongsheng Li Yu Qiao ViT 162 360 0 24 Jan 2022
CPT: Colorful Prompt Tuning for Pre-trained Vision-Language Models Yuan Yao Ao Zhang Zhengyan Zhang Zhiyuan Liu Tat-Seng Chua Maosong Sun MLLM VPVLM VLM 208 221 0 24 Sep 2021
Learning to Prompt for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VPVLM CLIP VLM 345 2,271 0 02 Sep 2021
Decoupling the Role of Data, Attention, and Losses in Multimodal Transformers Lisa Anne Hendricks John F. J. Mellor R. Schneider Jean-Baptiste Alayrac Aida Nematzadeh 79 110 0 31 Jan 2021