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Workshop
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Diffusion-Augmented Neural Processes
Lorenzo Bonito · James Requeima · Aliaksandra Shysheya · Richard Turner
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Workshop
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Enhancing Diffusion-based Point Cloud Generation with Smoothness Constraint
Yukun Li · Liping Liu
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Workshop
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Variational Inference for SDEs Driven by Fractional Noise
Rembert Daems · Manfred Opper · Guillaume Crevecoeur · Tolga Birdal
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Workshop
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Diffusion-C: Unveiling the Generative Challenges of Diffusion Models through Corrupted Data
Keywoong Bae · Suan Lee · Wookey Lee
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Workshop
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ρ-Diffusion: A diffusion-based density estimation framework for computational physics
Maxwell Xu Cai · Kin Long Kelvin Lee
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Workshop
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Improving Flood Insights: Diffusion-based SAR to EO Image Translation
Minseok Seo · YoungTack Oh · Doyi Kim · Dongmin Kang · Yeji Choi
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Workshop
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Diffusion-based Semantic-Discrepant Outlier Generation for Out-of-Distribution Detection
Suhee Yoon · Sanghyu Yoon · Hankook Lee · Sangjun Han · Ye Seul Sim · Kyungeun Lee · Hyeseung Cho · Woohyung Lim
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Workshop
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Fri 13:00
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Leveraging Diffusion-Based Image Variations for Robust Training on Poisoned Data
Lukas Struppek · Martin Bernhard Hentschel · Clifton Poth · Dominik Hintersdorf · Kristian Kersting
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Workshop
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Diffusion-Guided Counterfactual Generation for Model Explainability
Nishtha Madaan · Srikanta Bedathur
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Workshop
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AMP-Diffusion: Integrating Latent Diffusion with Protein Language Models for Antimicrobial Peptide Generation
Tianlai Chen · Pranay Vure · Rishab Pulugurta · Pranam Chatterjee
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Workshop
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DiffTune: A Diffusion-Based Approach to Diverse Instruction-Tuning Data Generation
Suyuchen Wang · Bang Liu
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Poster
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Thu 8:45
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DiffComplete: Diffusion-based Generative 3D Shape Completion
Ruihang Chu · Enze Xie · Shentong Mo · Shentong Mo · Zhenguo Li · Matthias Niessner · Chi-Wing Fu · Jiaya Jia
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