Pose Estimation Pipelines for Virtual Try-On: Keypoint to Warping
A deep-tech walkthrough of the computer vision architectures that drive image-based virtual try-on, from human pose keypoints to geometric garment warping.
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Computer vision
The Computer vision section of AIFashion.tech.
Attention Mechanisms in Fashion Attribute Tagging: How They Work
Attention weights are computed over image tokens, not pixels. What that means for garment attribute tagging: per-attribute queries, the patch-grid ceiling on texture and trims, and why layered outfits need segmentation first.
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8 Computer Vision Tasks Fashion Engineers Actually Ship
Eight computer vision tasks that are genuinely in production at fashion companies, each with the model class engineers reach for and the failure mode that eventually shows up.
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How to Fine-Tune a Vision Model on Garment Attribute Data
A practitioner walkthrough for fine-tuning a pre-trained vision transformer on garment attributes: schema design, dataset splits, training config, per-class evaluation and shipping predictions with provenance.
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AI in Fashion E-Commerce Photography: Four Technical Approaches
A technical breakdown of four production-ready AI photography workflows, evaluating the trade-offs between garment integrity, latency, and brand control.
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Body Measurement Models: How 3DLOOK Extracts Landmarks from Two Photos
The pose-estimation and silhouette-fitting pipeline behind two-photo body measurement, where it fails, and how confidence intervals are actually computed.
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Fabric Digitisation: How xTex Encodes Physical Textile Properties
What a fabric scanner actually measures, how the optical and mechanical halves are encoded, and which values a cloth solver reads downstream.
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Computer Vision for Textile Defect Detection: What Models See
Inline fabric inspection is anomaly detection over a near-periodic texture, which is why photograph-pretrained backbones disappoint and why labelling, not model capacity, is the constraint.
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Virtual Try-On Cannot Show Drape: The Physics Gap Explained
No virtual try-on system simulates fabric, because image-space pipelines have no slot for stiffness, weight or weave geometry. Here is what the physics actually requires, and what better body data cannot fix.
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