|
Oral
|
Tue 21:34
|
Denoising MCMC for Accelerating Diffusion-Based Generative Models
Beomsu Kim · Jong Chul YE
|
|
|
Workshop
|
|
DiffScene: Diffusion-Based Safety-Critical Scenario Generation for Autonomous Vehicles
Chejian Xu · Ding Zhao · Alberto Sngiovanni Vincentelli · Bo Li
|
|
|
Poster
|
Tue 14:00
|
Denoising MCMC for Accelerating Diffusion-Based Generative Models
Beomsu Kim · Jong Chul YE
|
|
|
Poster
|
Wed 14:00
|
GREAD: Graph Neural Reaction-Diffusion Networks
Jeongwhan Choi · Seoyoung Hong · Noseong Park · Sung-Bae Cho
|
|
|
Workshop
|
|
Exposing the Fake: Effective Diffusion-Generated Images Detection
|
|
|
Workshop
|
|
DiffScene: Diffusion-Based Safety-Critical Scenario Generation for Autonomous Vehicles
|
|
|
Poster
|
Thu 13:30
|
DDGR: Continual Learning with Deep Diffusion-based Generative Replay
Rui Gao · Weiwei Liu
|
|
|
Poster
|
Thu 13:30
|
A Critical Revisit of Adversarial Robustness in 3D Point Cloud Recognition with Diffusion-Driven Purification
Jiachen Sun · Jiongxiao Wang · Weili Nie · Zhiding Yu · Zhuoqing Morley Mao · Chaowei Xiao
|
|
|
Poster
|
Wed 14:00
|
FP-Diffusion: Improving Score-based Diffusion Models by Enforcing the Underlying Score Fokker-Planck Equation
Chieh-Hsin Lai · Yuhta Takida · Naoki Murata · Toshimitsu Uesaka · Yuki Mitsufuji · Stefano Ermon
|
|
|
Poster
|
Wed 17:00
|
RLEG: Vision-Language Representation Learning with Diffusion-based Embedding Generation
Liming Zhao · Kecheng Zheng · Yun Zheng · Deli Zhao · Jingren Zhou
|
|
|
Workshop
|
|
Accelerating Diffusion-based Combinatorial Optimization Solvers by Progressive Distillation
Junwei Huang · Zhiqing Sun · Yiming Yang
|
|
|
Workshop
|
|
Exposing the Fake: Effective Diffusion-Generated Images Detection
RuiPeng Ma · Jinhao Duan · Fei Kong · Xiaoshuang Shi · Kaidi Xu
|
|
