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In-Person Oral presentation / top 25% paper
Mon May 01 06:00 AM -- 06:10 AM (PDT) @ AD12 None
Diffusion Posterior Sampling for General Noisy Inverse Problems
In Oral 2 Track 3: Generative models
Hyungjin Chung · Jeongsol Kim · Michael McCann · Marc Klasky · Jong Ye
In-Person Oral presentation / top 25% paper
Mon May 01 06:10 AM -- 06:20 AM (PDT) @ AD12 None
Prompt-to-Prompt Image Editing with Cross-Attention Control
In Oral 2 Track 3: Generative models
Amir Hertz · Ron Mokady · Jay Tenenbaum · Kfir Aberman · Yael Pritch · Daniel Cohen-Or
In-Person Oral presentation / top 25% paper
Mon May 01 06:20 AM -- 06:30 AM (PDT) @ AD12 None
Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting
In Oral 2 Track 3: Generative models
Xiajun Jiang · Ryan Missel · Zhiyuan Li · Linwei Wang
In-Person Oral presentation / top 25% paper
Mon May 01 06:30 AM -- 06:40 AM (PDT) @ AD12 None
Diffusion Models Already Have A Semantic Latent Space
In Oral 2 Track 3: Generative models
Mingi Kwon · Jaeseok Jeong · Youngjung Uh
In-Person Oral presentation / top 5% paper
Mon May 01 06:40 AM -- 06:50 AM (PDT) @ AD12 None
DreamFusion: Text-to-3D using 2D Diffusion
In Oral 2 Track 3: Generative models
Ben Poole · Ajay Jain · Jonathan T. Barron · Ben Mildenhall
In-Person Oral presentation / top 5% paper
Mon May 01 06:50 AM -- 07:00 AM (PDT) @ AD12 None
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions
In Oral 2 Track 3: Generative models
Sitan Chen · Sinho Chewi · Jerry Li · Yuanzhi Li · Adil Salim · Anru Zhang