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08/18/2023
DMCVR: Morphology-Guided Diffusion Model for 3D Cardiac Volume Reconstruction
Accurate 3D cardiac reconstruction from cine magnetic resonance imaging ...
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06/08/2023
Improving Negative-Prompt Inversion via Proximal Guidance
DDIM inversion has revealed the remarkable potential of real image editi...
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04/27/2023
Learning Articulated Shape with Keypoint Pseudo-labels from Web Images
This paper shows that it is possible to learn models for monocular 3D re...
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04/02/2023
Constructive Assimilation: Boosting Contrastive Learning Performance through View Generation Strategies
Transformations based on domain expertise (expert transformations), such...
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03/20/2023
SVDiff: Compact Parameter Space for Diffusion Fine-Tuning
Diffusion models have achieved remarkable success in text-to-image gener...
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02/06/2023
Learning Complementary Policies for Human-AI Teams
Human-AI complementarity is important when neither the algorithm nor the...
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12/08/2022
SINE: SINgle Image Editing with Text-to-Image Diffusion Models
Recent works on diffusion models have demonstrated a strong capability f...
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12/08/2022
Diffusion Guided Domain Adaptation of Image Generators
Can a text-to-image diffusion model be used as a training objective for ...
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10/10/2022
On the Importance of Calibration in Semi-supervised Learning
State-of-the-art (SOTA) semi-supervised learning (SSL) methods have been...
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07/20/2022
Hierarchically Self-Supervised Transformer for Human Skeleton Representation Learning
Despite the success of fully-supervised human skeleton sequence modeling...
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03/04/2022
Show Me What and Tell Me How: Video Synthesis via Multimodal Conditioning
Most methods for conditional video synthesis use a single modality as th...
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12/08/2021
Enhancing Counterfactual Classification via Self-Training
Unlike traditional supervised learning, in many settings only partial fe...
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10/17/2021
AE-StyleGAN: Improved Training of Style-Based Auto-Encoders
StyleGANs have shown impressive results on data generation and manipulat...
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08/20/2021
Dual Projection Generative Adversarial Networks for Conditional Image Generation
Conditional Generative Adversarial Networks (cGANs) extend the standard ...
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05/22/2021
Human-AI Collaboration with Bandit Feedback
Human-machine complementarity is important when neither the algorithm no...
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01/19/2021
Disentangled Recurrent Wasserstein Autoencoder
Learning disentangled representations leads to interpretable models and ...
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06/13/2020
Unbiased Auxiliary Classifier GANs with MINE
Auxiliary Classifier GANs (AC-GANs) are widely used conditional generati...
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03/31/2020
Learning Generative Models of Tissue Organization with Supervised GANs
A key step in understanding the spatial organization of cells and tissue...
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11/21/2019
Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons
Conditional generative adversarial networks have shown exceptional gener...
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07/25/2019