Explore In-Context Segmentation via Latent Diffusion Models

14 March 2024

Chaoyang Wang

Xiangtai Li

Henghui Ding

Jiangning Zhang

Papers citing "Explore In-Context Segmentation via Latent Diffusion Models"

22 / 22 papers shown

Title
Unleashing In-context Learning of Autoregressive Models for Few-shot Image Manipulation Bolin Lai F. Xu Miao Liu Xiaoliang Dai Nikhil Mehta ... Zeyi Huang James M. Rehg Sangmin Lee Ning Zhang Tong Xiao 62 2 0 02 Dec 2024
Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation Muzhi Zhu Yang Liu Zekai Luo Chenchen Jing Hao Chen Guangkai Xu Xinlong Wang Chunhua Shen DiffM VLM 19 2 0 03 Oct 2024
SemFlow: Binding Semantic Segmentation and Image Synthesis via Rectified Flow Chaoyang Wang Xiangtai Li Lu Qi Henghui Ding Yunhai Tong Ming-Hsuan Yang DiffM 53 2 0 30 May 2024
OMG-Seg: Is One Model Good Enough For All Segmentation? Xiangtai Li Haobo Yuan Wei Li Henghui Ding Size Wu Wenwei Zhang Yining Li Kai Chen Chen Change Loy VLM MLLM ViT 54 48 0 18 Jan 2024
In-Context Learning Unlocked for Diffusion Models Zhendong Wang Yifan Jiang Yadong Lu Yelong Shen Pengcheng He Weizhu Chen Zhangyang Wang Mingyuan Zhou VLM DiffM 78 47 0 01 May 2023
Transformer-Based Visual Segmentation: A Survey Xiangtai Li Henghui Ding Haobo Yuan Wenwei Zhang Jiangmiao Pang Guangliang Cheng Kai-xiang Chen Ziwei Liu Chen Change Loy ViT MedIm 15 112 0 19 Apr 2023
Exploring Effective Factors for Improving Visual In-Context Learning Yanpeng Sun Qiang Chen Jian Wang Jingdong Wang Zechao Li LRM VLM 29 17 0 10 Apr 2023
Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching Donggyun Kim Jinwoo Kim Seongwoong Cho Chong Luo Seunghoon Hong VLM 26 23 0 27 Mar 2023
MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation Minh-Quan Le Tam V. Nguyen Trung-Nghia Le Thanh-Toan Do Minh N. Do M. Tran DiffM 24 7 0 09 Mar 2023
Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models Jiarui Xu Sifei Liu Arash Vahdat Wonmin Byeon Xiaolong Wang Shalini De Mello VLM 198 262 0 08 Mar 2023
Unleashing Text-to-Image Diffusion Models for Visual Perception Wenliang Zhao Yongming Rao Zuyan Liu Benlin Liu Jie Zhou Jiwen Lu ObjD VLM MDE 142 114 0 03 Mar 2023
Flexible Diffusion Modeling of Long Videos William Harvey Saeid Naderiparizi Vaden Masrani Christian Weilbach Frank D. Wood DiffM BDL VGen 161 284 0 23 May 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero F. I. F. Richard Yu Radu Timofte Luc Van Gool DiffM 200 921 0 24 Jan 2022
A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion Zhaoyang Lyu Zhifeng Kong Xudong Xu Liang Pan Dahua Lin DiffM BDL 200 117 0 07 Dec 2021
Label-Efficient Semantic Segmentation with Diffusion Models Dmitry Baranchuk Ivan Rubachev A. Voynov Valentin Khrulkov Artem Babenko DiffM VLM 187 388 0 06 Dec 2021
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 255 5,353 0 11 Nov 2021
Palette: Image-to-Image Diffusion Models Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 314 1,570 0 10 Nov 2021
Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer Zhihe Lu Sen He Xiatian Zhu Li Zhang Yi-Zhe Song Tao Xiang ViT 158 171 0 06 Aug 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 272 3,784 0 18 Apr 2021
Diffusion Probabilistic Models for 3D Point Cloud Generation Shitong Luo Wei Hu 3DPC 164 711 0 02 Mar 2021
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? Malik Boudiaf H. Kervadec Imtiaz Masud Ziko Pablo Piantanida Ismail Ben Ayed Jose Dolz VLM 163 186 0 11 Dec 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 217 3,054 0 23 Jan 2020