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🏢 Korea Advanced Institute of Science and Technology (KAIST)

TPC: Test-time Procrustes Calibration for Diffusion-based Human Image Animation
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Computer Vision Image Generation 🏢 Korea Advanced Institute of Science and Technology (KAIST)
Boosting diffusion-based human image animation, Test-time Procrustes Calibration (TPC) ensures high-quality outputs by aligning reference and target images, overcoming common compositional misalignmen…
Self-supervised Transformation Learning for Equivariant Representations
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AI Generated Machine Learning Self-Supervised Learning 🏢 Korea Advanced Institute of Science and Technology (KAIST)
Self-Supervised Transformation Learning (STL) enhances equivariant representations by replacing transformation labels with image-pair-derived representations, improving performance on diverse classifi…
Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy
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Machine Learning Representation Learning 🏢 Korea Advanced Institute of Science and Technology (KAIST)
MUSE, a novel graph anomaly detection method, leverages multifaceted summaries of reconstruction errors, achieving state-of-the-art performance by addressing limitations of existing Graph-AE-based met…
Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization
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Machine Learning Optimization 🏢 Korea Advanced Institute of Science and Technology (KAIST)
GTG, a novel conditional generative modeling approach, leverages diffusion models to generate high-scoring design trajectories for offline model-based optimization, outperforming existing methods on b…