Summary of Efficient Text-driven Motion Generation Via Latent Consistency Training, by Mengxian Hu et al.
Efficient Text-driven Motion Generation via Latent Consistency Trainingby Mengxian Hu, Minghao Zhu, Xun Zhou, Qingqing…
Summary of Animate Your Thoughts: Decoupled Reconstruction Of Dynamic Natural Vision From Slow Brain Activity, by Yizhuo Lu and Changde Du and Chong Wang and Xuanliu Zhu and Liuyun Jiang and Xujin Li and Huiguang He
Animate Your Thoughts: Decoupled Reconstruction of Dynamic Natural Vision from Slow Brain Activityby Yizhuo Lu,…
Summary of Obtaining Favorable Layouts For Multiple Object Generation, by Barak Battash et al.
Obtaining Favorable Layouts for Multiple Object Generationby Barak Battash, Amit Rozner, Lior Wolf, Ofir LindenbaumFirst…
Summary of Fake Artificial Intelligence Generated Contents (faigc): a Survey Of Theories, Detection Methods, and Opportunities, by Xiaomin Yu et al.
Fake Artificial Intelligence Generated Contents (FAIGC): A Survey of Theories, Detection Methods, and Opportunitiesby Xiaomin…
Summary of Can’t Say Cant? Measuring and Reasoning Of Dark Jargons in Large Language Models, by Xu Ji et al.
Can’t say cant? Measuring and Reasoning of Dark Jargons in Large Language Modelsby Xu Ji,…
Summary of Deep Reward Supervisions For Tuning Text-to-image Diffusion Models, by Xiaoshi Wu et al.
Deep Reward Supervisions for Tuning Text-to-Image Diffusion Modelsby Xiaoshi Wu, Yiming Hao, Manyuan Zhang, Keqiang…
Summary of Fashionsd-x: Multimodal Fashion Garment Synthesis Using Latent Diffusion, by Abhishek Kumar Singh et al.
FashionSD-X: Multimodal Fashion Garment Synthesis using Latent Diffusionby Abhishek Kumar Singh, Ioannis PatrasFirst submitted to…
Summary of Glod: Composing Global Contexts and Local Details in Image Generation, by Moyuru Yamada
GLoD: Composing Global Contexts and Local Details in Image Generationby Moyuru YamadaFirst submitted to arxiv…
Summary of Id-aligner: Enhancing Identity-preserving Text-to-image Generation with Reward Feedback Learning, by Weifeng Chen et al.
ID-Aligner: Enhancing Identity-Preserving Text-to-Image Generation with Reward Feedback Learningby Weifeng Chen, Jiacheng Zhang, Jie Wu,…
Summary of Cutdiffusion: a Simple, Fast, Cheap, and Strong Diffusion Extrapolation Method, by Mingbao Lin et al.
CutDiffusion: A Simple, Fast, Cheap, and Strong Diffusion Extrapolation Methodby Mingbao Lin, Zhihang Lin, Wengyi…