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06/25/2023
DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data
Denoising diffusion probabilistic models (DDPMs) have been proven capabl...
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05/19/2023
Few-shot 3D Shape Generation
Realistic and diverse 3D shape generation is helpful for a wide variety ...
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05/18/2023
Prediction with Incomplete Data under Agnostic Mask Distribution Shift
Data with missing values is ubiquitous in many applications. Recent year...
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03/06/2023
MotionVideoGAN: A Novel Video Generator Based on the Motion Space Learned from Image Pairs
Video generation has achieved rapid progress benefiting from high-qualit...
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11/07/2022
Few-shot Image Generation with Diffusion Models
Denoising diffusion probabilistic models (DDPMs) have been proven capabl...
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10/27/2022
Few-shot Image Generation via Masked Discrimination
Few-shot image generation aims to generate images of high quality and gr...
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05/23/2022
Learning to Advise and Learning from Advice in Cooperative Multi-Agent Reinforcement Learning
Learning to coordinate is a daunting problem in multi-agent reinforcemen...
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09/29/2021
Information-Bottleneck-Based Behavior Representation Learning for Multi-agent Reinforcement learning
In multi-agent deep reinforcement learning, extracting sufficient and co...
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07/03/2021
Supervised Off-Policy Ranking
Off-policy evaluation (OPE) leverages data generated by other policies t...
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12/28/2017
Chernoff Information between Gaussian Trees
In this paper, we aim to provide a systematic study of the relationship ...
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12/28/2017
