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Found 3 papers, 2 papers with code
Magic Clothing: Controllable Garment-Driven Image Synthesis
We propose Magic Clothing, a latent diffusion model (LDM)-based network architecture for an unexplored garment-driven image synthesis task.
OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on
We present OOTDiffusion, a novel network architecture for realistic and controllable image-based virtual try-on (VTON).
A unified neural network for object detection, multiple object tracking and vehicle re-identification
Since the single image lacks the same object which is necessary when we use the triplet loss to optimizer the track branch, we concatenate the neighbouring frames in a video to construct our training dataset.
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