Summary of Training-free Diffusion Model Alignment with Sampling Demons, by Po-hung Yeh et al.
Training-free Diffusion Model Alignment with Sampling Demonsby Po-Hung Yeh, Kuang-Huei Lee, Jun-Cheng ChenFirst submitted to…
Summary of Hero: Human-feedback Efficient Reinforcement Learning For Online Diffusion Model Finetuning, by Ayano Hiranaka et al.
HERO: Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuningby Ayano Hiranaka, Shang-Fu Chen, Chieh-Hsin…
Summary of Stochastic Runge-kutta Methods: Provable Acceleration Of Diffusion Models, by Yuchen Wu et al.
Stochastic Runge-Kutta Methods: Provable Acceleration of Diffusion Modelsby Yuchen Wu, Yuxin Chen, Yuting WeiFirst submitted…
Summary of Disentangling Regional Primitives For Image Generation, by Zhengting Chen et al.
Disentangling Regional Primitives for Image Generationby Zhengting Chen, Lei Cheng, Lianghui Ding, Quanshi ZhangFirst submitted…
Summary of Denoising with a Joint-embedding Predictive Architecture, by Dengsheng Chen et al.
Denoising with a Joint-Embedding Predictive Architectureby Dengsheng Chen, Jie Hu, Xiaoming Wei, Enhua WuFirst submitted…
Summary of Sageattention: Accurate 8-bit Attention For Plug-and-play Inference Acceleration, by Jintao Zhang et al.
SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Accelerationby Jintao Zhang, Jia wei, Haofeng Huang, Pengle…
Summary of Stochastic Sampling From Deterministic Flow Models, by Saurabh Singh et al.
Stochastic Sampling from Deterministic Flow Modelsby Saurabh Singh, Ian FischerFirst submitted to arxiv on: 3…
Summary of Edge-preserving Noise For Diffusion Models, by Jente Vandersanden et al.
Edge-preserving noise for diffusion modelsby Jente Vandersanden, Sascha Holl, Xingchang Huang, Gurprit SinghFirst submitted to…
Summary of Realistic Evaluation Of Model Merging For Compositional Generalization, by Derek Tam et al.
Realistic Evaluation of Model Merging for Compositional Generalizationby Derek Tam, Yash Kant, Brian Lester, Igor…
Summary of Pixel-space Post-training Of Latent Diffusion Models, by Christina Zhang et al.
Pixel-Space Post-Training of Latent Diffusion Modelsby Christina Zhang, Simran Motwani, Matthew Yu, Ji Hou, Felix…