DreamDistribution: Learning Prompt Distribution for Diverse In-distribution Generation

DreamDistribution: Learning Prompt Distribution for Diverse In-distribution Generation

21 December 2023

Brian Nlong Zhao

Yifan Yang

Dongsheng Li

Papers citing "DreamDistribution: Learning Prompt Distribution for Diverse In-distribution Generation"

9 / 9 papers shown

Title
InstantBooth: Personalized Text-to-Image Generation without Test-Time Finetuning Jing Shi Wei Xiong Zhe-nan Lin H. J. Jung DiffM 100 172 0 06 Apr 2023
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero F. I. F. Richard Yu Radu Timofte Luc Van Gool DiffM 173 921 0 24 Jan 2022
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks Xiao Liu Kaixuan Ji Yicheng Fu Weng Lam Tam Zhengxiao Du Zhilin Yang Jie Tang VLM 206 604 0 14 Oct 2021
Learning to Prompt for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VPVLM CLIP VLM 298 2,108 0 02 Sep 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 260 4,299 0 29 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 254 2,999 0 18 Apr 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision Chao Jia Yinfei Yang Ye Xia Yi-Ting Chen Zarana Parekh Hieu H. Pham Quoc V. Le Yun-hsuan Sung Zhen Li Tom Duerig VLM CLIP 268 2,875 0 11 Feb 2021
WARP: Word-level Adversarial ReProgramming Karen Hambardzumyan Hrant Khachatrian Jonathan May AAML 232 302 0 01 Jan 2021
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 260 9,997 0 01 Sep 2014