Antagonising explanation and revealing bias directly through sequencing and multimodal inference

25 August 2023

Papers citing "Antagonising explanation and revealing bias directly through sequencing and multimodal inference"

8 / 8 papers shown

Title
InstructPix2Pix: Learning to Follow Image Editing Instructions Tim Brooks Aleksander Holynski Alexei A. Efros DiffM 207 1,813 0 17 Nov 2022
On the Implicit Bias in Deep-Learning Algorithms Gal Vardi FedML AI4CE 69 80 0 26 Aug 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 360 3,605 0 20 Dec 2021
DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation Gwanghyun Kim Taesung Kwon Jong Chul Ye DiffM 198 650 0 06 Oct 2021
Design Guidelines for Prompt Engineering Text-to-Image Generative Models Vivian Liu Lydia B. Chilton 65 497 0 14 Sep 2021
Learning to Prompt for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VPVLM CLIP VLM 495 2,405 0 02 Sep 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 241 7,857 0 11 May 2021
Deep Learning on Image Denoising: An overview Chunwei Tian Lunke Fei Wenxian Zheng Yong-mei Xu W. Zuo Chia-Wen Lin 205 832 0 31 Dec 2019