DAMA uses body-anchored Gaussians to reconstruct multi-layered 3D avatars from images, achieving clean garment separation, stacking control, and physical plausibility.
Outfitanyone: Ultra-high quality virtual try-on for any clothing and any person.arXiv preprint arXiv:2407.16224, 2024
4 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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DirectTryOn achieves state-of-the-art one-step virtual try-on performance by applying pure conditional transport, garment preservation loss, and self-consistency loss to straighten trajectories in pretrained generative models.
Ti-iLSTM optimizes LSTM for TinyDL to detect logic-layer deception anomalies in PLC-based IWTS, reporting F1=0.983 and AUC=0.998 on SWaT with validation on WADI.
A Spanish Twitter language model trained from scratch with label smoothing placed 3rd and 2nd in the HAHA 2019 humor classification and regression tasks.
citing papers explorer
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DAMA: Disentangled Body-Anchored Gaussians for Controllable Multi-Layered Avatars
DAMA uses body-anchored Gaussians to reconstruct multi-layered 3D avatars from images, achieving clean garment separation, stacking control, and physical plausibility.
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DirectTryOn: One-Step Virtual Try-On via Straightened Conditional Transport
DirectTryOn achieves state-of-the-art one-step virtual try-on performance by applying pure conditional transport, garment preservation loss, and self-consistency loss to straighten trajectories in pretrained generative models.
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Ti-iLSTM: A TinyDL Approach for Logic-Level Anomaly Detection in Industrial Water Treatment Systems
Ti-iLSTM optimizes LSTM for TinyDL to detect logic-layer deception anomalies in PLC-based IWTS, reporting F1=0.983 and AUC=0.998 on SWaT with validation on WADI.
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Applying a Pre-trained Language Model to Spanish Twitter Humor Prediction
A Spanish Twitter language model trained from scratch with label smoothing placed 3rd and 2nd in the HAHA 2019 humor classification and regression tasks.