Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling

31 May 2024

Papers citing "Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling"

7 / 7 papers shown

Title
PlanGen: Towards Unified Layout Planning and Image Generation in Auto-Regressive Vision Language Models Runze He Bo Cheng Yuhang Ma Qingxiang Jia Shanyuan Liu Ao Ma Xiaoyu Wu Liebucha Wu Dawei Leng Yuhui Yin DiffM VLM 47 0 0 13 Mar 2025
Improving Object Detection by Modifying Synthetic Data with Explainable AI Nitish Mital Simon Malzard Richard Walters Celso M. De Melo Raghuveer Rao Victoria Nockles 74 0 0 02 Dec 2024
DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generation Jiatao Gu Yuyang Wang Yizhe Zhang Qihang Zhang Dinghuai Zhang Navdeep Jaitly Josh Susskind Shuangfei Zhai DiffM 31 12 0 10 Oct 2024
Generative prediction of flow field based on the diffusion model Jiajun Hu Zhen Lu Yue Yang AI4CE 16 2 0 30 Jun 2024
MoVQ: Modulating Quantized Vectors for High-Fidelity Image Generation Chuanxia Zheng L. Vuong Jianfei Cai Dinh Q. Phung MQ 58 72 0 19 Sep 2022
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts Soravit Changpinyo P. Sharma Nan Ding Radu Soricut VLM 273 1,077 0 17 Feb 2021
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 229 74,467 0 18 May 2015