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Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models
31 January 2023
Hila Chefer
Yuval Alaluf
Yael Vinker
Lior Wolf
Daniel Cohen-Or
DiffM
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Papers citing
"Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models"
4 / 404 papers shown
Title
Deepfake: Definitions, Performance Metrics and Standards, Datasets and Benchmarks, and a Meta-Review
Enes ALTUNCU
V. N. Franqueira
Shujun Li
28
11
0
21 Aug 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Junnan Li
Dongxu Li
Caiming Xiong
S. Hoi
MLLM
BDL
VLM
CLIP
392
4,137
0
28 Jan 2022
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
255
4,781
0
24 Feb 2021
Image Generation from Scene Graphs
Justin Johnson
Agrim Gupta
Li Fei-Fei
GNN
223
815
0
04 Apr 2018
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