Poster

Wed 14:00

BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis
Yichong Leng · Zehua Chen · Junliang Guo · Haohe Liu · Jiawei Chen · Xu Tan · Danilo Mandic · Lei He · Xiangyang Li · Tao Qin · sheng zhao · Tie-Yan Liu

Workshop

Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic Models
Namrata Anand · Tudor Achim

Workshop

Generating astronomical spectra from photometry with conditional diffusion models
Lars Doorenbos · Stefano Cavuoti · Giuseppe Longo · Massimo Brescia · Raphael Sznitman · Pablo Márquez Neila

Poster

Thu 14:00

Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
Muyang Li · Ji Lin · Chenlin Meng · Stefano Ermon · Song Han · Jun-Yan Zhu

Workshop

Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation
Han Huang · Leilei Sun · Bowen Du · Weifeng Lv

Poster

Wed 14:00

Conditional Diffusion Process for Inverse Halftoning
Hao Jiang · Yadong Mu

Poster

Wed 14:00

Diffusion Models as Plug-and-Play Priors
Alexandros Graikos · Nikolay Malkin · Nebojsa Jojic · Dimitris Samaras

Poster

Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement
Yan Li · Xinjiang Lu · Yaqing Wang · Dejing Dou

Poster

EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations
Min Zhao · Fan Bao · Chongxuan LI · Jun Zhu

Poster

Thu 14:00

Hiding Images in Deep Probabilistic Models
Haoyu Chen · Linqi Song · Zhenxing Qian · Xinpeng Zhang · Kede Ma

Workshop

Probabilistic Mixture Modeling For End-Member Extraction in Hyperspectral Data
Oliver Hoidn · Aashwin Mishra · Apurva Mehta

Poster

Thu 9:00

Unsupervised Representation Learning from Pre-trained Diffusion Probabilistic Models
Zijian Zhang · Zhou Zhao · Zhijie Lin