Summary of Diff-2-in-1: Bridging Generation and Dense Perception with Diffusion Models, by Shuhong Zheng et al.
Diff-2-in-1: Bridging Generation and Dense Perception with Diffusion Modelsby Shuhong Zheng, Zhipeng Bao, Ruoyu Zhao,…
Summary of Svdquant: Absorbing Outliers by Low-rank Components For 4-bit Diffusion Models, By Muyang Li et al.
SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Modelsby Muyang Li, Yujun Lin, Zhekai…
Summary of Hypercube Policy Regularization Framework For Offline Reinforcement Learning, by Yi Shen et al.
Hypercube Policy Regularization Framework for Offline Reinforcement Learningby Yi Shen, Hanyan HuangFirst submitted to arxiv…
Summary of Series-to-series Diffusion Bridge Model, by Hao Yang et al.
Series-to-Series Diffusion Bridge Modelby Hao Yang, Zhanbo Feng, Feng Zhou, Robert C Qiu, Zenan LingFirst…
Summary of Efficient Symmetry-aware Materials Generation Via Hierarchical Generative Flow Networks, by Tri Minh Nguyen et al.
Efficient Symmetry-Aware Materials Generation via Hierarchical Generative Flow Networksby Tri Minh Nguyen, Sherif Abdulkader Tawfik,…
Summary of Pedestrian Volume Prediction Using a Diffusion Convolutional Gated Recurrent Unit Model, by Yiwei Dong et al.
Pedestrian Volume Prediction Using a Diffusion Convolutional Gated Recurrent Unit Modelby Yiwei Dong, Tingjin Chu,…
Summary of How Much Is a Noisy Image Worth? Data Scaling Laws For Ambient Diffusion, by Giannis Daras and Yeshwanth Cherapanamjeri and Constantinos Daskalakis
How much is a noisy image worth? Data Scaling Laws for Ambient Diffusionby Giannis Daras,…
Summary of Grouped Discrete Representation For Object-centric Learning, by Rongzhen Zhao et al.
Grouped Discrete Representation for Object-Centric Learningby Rongzhen Zhao, Vivienne Wang, Juho Kannala, Joni PajarinenFirst submitted…
Summary of Model Integrity When Unlearning with T2i Diffusion Models, by Andrea Schioppa et al.
Model Integrity when Unlearning with T2I Diffusion Modelsby Andrea Schioppa, Emiel Hoogeboom, Jonathan HeekFirst submitted…
Summary of Bridge-if: Learning Inverse Protein Folding with Markov Bridges, by Yiheng Zhu et al.
Bridge-IF: Learning Inverse Protein Folding with Markov Bridgesby Yiheng Zhu, Jialu Wu, Qiuyi Li, Jiahuan…