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05/30/2023
DiffMatch: Diffusion Model for Dense Matching
The objective for establishing dense correspondence between paired image...
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12/17/2022
DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic Models
In recent years, generative models have undergone significant advancemen...
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10/04/2022
Towards Flexible Inductive Bias via Progressive Reparameterization Scheduling
There are two de facto standard architectures in recent computer vision:...
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10/03/2022
Improving Sample Quality of Diffusion Models Using Self-Attention Guidance
Following generative adversarial networks (GANs), a de facto standard mo...
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09/22/2022
MIDMs: Matching Interleaved Diffusion Models for Exemplar-based Image Translation
We present a novel method for exemplar-based image translation, called m...
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08/18/2022
ConMatch: Semi-Supervised Learning with Confidence-Guided Consistency Regularization
We present a novel semi-supervised learning framework that intelligently...
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03/30/2022
Semi-Supervised Learning of Semantic Correspondence with Pseudo-Labels
Establishing dense correspondences across semantically similar images re...
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01/25/2022
