Summary of Unified Discrete Diffusion For Categorical Data, by Lingxiao Zhao et al.
Unified Discrete Diffusion for Categorical Databy Lingxiao Zhao, Xueying Ding, Lijun Yu, Leman AkogluFirst submitted…
Unified Discrete Diffusion for Categorical Databy Lingxiao Zhao, Xueying Ding, Lijun Yu, Leman AkogluFirst submitted…
Path Signatures and Graph Neural Networks for Slow Earthquake Analysis: Better Together?by Hans Riess, Manolis…
Constrained Synthesis with Projected Diffusion Modelsby Jacob K Christopher, Stephen Baek, Ferdinando FiorettoFirst submitted to…
Stochastic Modified Flows for Riemannian Stochastic Gradient Descentby Benjamin Gess, Sebastian Kassing, Nimit RanaFirst submitted…
InstanceDiffusion: Instance-level Control for Image Generationby Xudong Wang, Trevor Darrell, Sai Saketh Rambhatla, Rohit Girdhar,…
Do Diffusion Models Learn Semantically Meaningful and Efficient Representations?by Qiyao Liang, Ziming Liu, Ila FieteFirst…
Guidance with Spherical Gaussian Constraint for Conditional Diffusionby Lingxiao Yang, Shutong Ding, Yifan Cai, Jingyi…
Retrieval-Augmented Score Distillation for Text-to-3D Generationby Junyoung Seo, Susung Hong, Wooseok Jang, Inès Hyeonsu Kim,…
ViewFusion: Learning Composable Diffusion Models for Novel View Synthesisby Bernard Spiegl, Andrea Perin, Stéphane Deny,…
DiffEditor: Boosting Accuracy and Flexibility on Diffusion-based Image Editingby Chong Mou, Xintao Wang, Jiechong Song,…