Summary of Do Not Think About Pink Elephant!, by Kyomin Hwang et al.
Do not think about pink elephant!by Kyomin Hwang, Suyoung Kim, JunHoo Lee, Nojun KwakFirst submitted…
Summary of Pixel Is a Barrier: Diffusion Models Are More Adversarially Robust Than We Think, by Haotian Xue and Yongxin Chen
Pixel is a Barrier: Diffusion Models Are More Adversarially Robust Than We Thinkby Haotian Xue,…
Summary of Lazy Diffusion Transformer For Interactive Image Editing, by Yotam Nitzan et al.
Lazy Diffusion Transformer for Interactive Image Editingby Yotam Nitzan, Zongze Wu, Richard Zhang, Eli Shechtman,…
Summary of Ladic: Are Diffusion Models Really Inferior to Autoregressive Counterparts For Image-to-text Generation?, by Yuchi Wang et al.
LaDiC: Are Diffusion Models Really Inferior to Autoregressive Counterparts for Image-to-Text Generation?by Yuchi Wang, Shuhuai…
Summary of Oneactor: Consistent Character Generation Via Cluster-conditioned Guidance, by Jiahao Wang et al.
OneActor: Consistent Character Generation via Cluster-Conditioned Guidanceby Jiahao Wang, Caixia Yan, Haonan Lin, Weizhan Zhang,…
Summary of Watermark-embedded Adversarial Examples For Copyright Protection Against Diffusion Models, by Peifei Zhu et al.
Watermark-embedded Adversarial Examples for Copyright Protection against Diffusion Modelsby Peifei Zhu, Tsubasa Takahashi, Hirokatsu KataokaFirst…
Summary of Rethinking Iterative Stereo Matching From Diffusion Bridge Model Perspective, by Yuguang Shi
Rethinking Iterative Stereo Matching from Diffusion Bridge Model Perspectiveby Yuguang ShiFirst submitted to arxiv on:…
Summary of Rethinking Artistic Copyright Infringements in the Era Of Text-to-image Generative Models, by Mazda Moayeri et al.
Rethinking Artistic Copyright Infringements in the Era of Text-to-Image Generative Modelsby Mazda Moayeri, Samyadeep Basu,…
Summary of Magic-boost: Boost 3d Generation with Multi-view Conditioned Diffusion, by Fan Yang et al.
Magic-Boost: Boost 3D Generation with Multi-View Conditioned Diffusionby Fan Yang, Jianfeng Zhang, Yichun Shi, Bowen…
Summary of Greedy-dim: Greedy Algorithms For Unreasonably Effective Face Morphs, by Zander W. Blasingame et al.
Greedy-DiM: Greedy Algorithms for Unreasonably Effective Face Morphsby Zander W. Blasingame, Chen LiuFirst submitted to…