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05/26/2023
ControlVideo: Adding Conditional Control for One Shot Text-to-Video Editing
In this paper, we present ControlVideo, a novel method for text-driven v...
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05/25/2023
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation
Score distillation sampling (SDS) has shown great promise in text-to-3D ...
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03/31/2023
A Closer Look at Parameter-Efficient Tuning in Diffusion Models
Large-scale diffusion models like Stable Diffusion are powerful and find...
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03/12/2023
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale
This paper proposes a unified diffusion framework (dubbed UniDiffuser) t...
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02/21/2023
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels
We propose a three-stage training strategy called dual pseudo training (...
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02/05/2023
Revisiting Discriminative vs. Generative Classifiers: Theory and Implications
A large-scale deep model pre-trained on massive labeled or unlabeled dat...
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12/01/2022
Why Are Conditional Generative Models Better Than Unconditional Ones?
Extensive empirical evidence demonstrates that conditional generative mo...
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11/02/2022
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models
Diffusion probabilistic models (DPMs) have achieved impressive success i...
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09/30/2022
Equivariant Energy-Guided SDE for Inverse Molecular Design
Inverse molecular design is critical in material science and drug discov...
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09/25/2022
All are Worth Words: a ViT Backbone for Score-based Diffusion Models
Vision transformers (ViT) have shown promise in various vision tasks inc...
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08/30/2022
Deep Generative Modeling on Limited Data with Regularization by Nontransferable Pre-trained Models
Deep generative models (DGMs) are data-eager. Essentially, it is because...
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07/14/2022
EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations
Score-based diffusion generative models (SDGMs) have achieved the SOTA F...
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06/16/2022
Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching
Score-based generative models have excellent performance in terms of gen...
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06/15/2022
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models
Diffusion probabilistic models (DPMs) are a class of powerful deep gener...
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06/02/2022
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps
Diffusion probabilistic models (DPMs) are emerging powerful generative m...
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01/17/2022
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models
Diffusion probabilistic models (DPMs) represent a class of powerful gene...
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06/08/2021
Stability and Generalization of Bilevel Programming in Hyperparameter Optimization
Recently, the (gradient-based) bilevel programming framework is widely u...
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10/16/2020
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models
The learning and evaluation of energy-based latent variable models (EBLV...
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10/15/2020
Bi-level Score Matching for Learning Energy-based Latent Variable Models
Score matching (SM) provides a compelling approach to learn energy-based...
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05/11/2019
Boosting Generative Models by Leveraging Cascaded Meta-Models
Deep generative models are effective methods of modeling data. However, ...
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01/25/2019
Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples
Sometimes it is not enough for a DNN to produce an outcome. For example,...
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10/30/2015
