Summary of Tinyfusion: Diffusion Transformers Learned Shallow, by Gongfan Fang et al.
TinyFusion: Diffusion Transformers Learned Shallowby Gongfan Fang, Kunjun Li, Xinyin Ma, Xinchao WangFirst submitted to…
TinyFusion: Diffusion Transformers Learned Shallowby Gongfan Fang, Kunjun Li, Xinyin Ma, Xinchao WangFirst submitted to…
On the Feature Learning in Diffusion Modelsby Andi Han, Wei Huang, Yuan Cao, Difan ZouFirst…
Blind Inverse Problem Solving Made Easy by Text-to-Image Latent Diffusionby Michail Dontas, Yutong He, Naoki…
Improving Decoupled Posterior Sampling for Inverse Problems using Data Consistency Constraintby Zhi Qi, Shihong Yuan,…
Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimationby Michele De Vita, Vasileios BelagiannisFirst submitted…
LumiNet: Latent Intrinsics Meets Diffusion Models for Indoor Scene Relightingby Xiaoyan Xing, Konrad Groh, Sezer…
FonTS: Text Rendering with Typography and Style Controlsby Wenda Shi, Yiren Song, Dengming Zhang, Jiaming…
VISION-XL: High Definition Video Inverse Problem Solver using Latent Image Diffusion Modelsby Taesung Kwon, Jong…
AerialGo: Walking-through City View Generation from Aerial Perspectivesby Fuqiang Zhao, Yijing Guo, Siyuan Yang, Xi…
Unpacking the Individual Components of Diffusion Policyby Xiu YuanFirst submitted to arxiv on: 27 Nov…