Obtaining Favorable Layouts for Multiple Object Generation

1 May 2024

Papers citing "Obtaining Favorable Layouts for Multiple Object Generation"

8 / 8 papers shown

Title
Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models Hila Chefer Yuval Alaluf Yael Vinker Lior Wolf Daniel Cohen-Or DiffM 122 516 0 31 Jan 2023
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models Junnan Li Dongxu Li Silvio Savarese Steven C. H. Hoi VLM MLLM 432 4,656 0 30 Jan 2023
Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis Weixi Feng Xuehai He Tsu-Jui Fu Varun Jampani Arjun Reddy Akula P. Narayana Sugato Basu Xinze Wang William Yang Wang CoGe 150 318 0 09 Dec 2022
Prompt-to-Prompt Image Editing with Cross Attention Control Amir Hertz Ron Mokady J. Tenenbaum Kfir Aberman Yael Pritch Daniel Cohen-Or DiffM 206 1,790 0 02 Aug 2022
Compositional Visual Generation with Composable Diffusion Models Nan Liu Shuang Li Yilun Du Antonio Torralba J. Tenenbaum DiffM CoGe 200 529 0 03 Jun 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 508 15,788 0 20 Dec 2021
Shortcut Learning in Deep Neural Networks Robert Geirhos J. Jacobsen Claudio Michaelis R. Zemel Wieland Brendel Matthias Bethge Felix Wichmann 221 2,064 0 16 Apr 2020
Natural Adversarial Examples Dan Hendrycks Kevin Zhao Steven Basart Jacob Steinhardt Basel Alomair OODD 236 1,484 0 16 Jul 2019