TexTailor: Texture-Preserving Video Virtual Try-On via Adaptive Garment Conditioning

arXiv:2609.39335 · cs.CV · Submitted 2026-09-30 · Read on arXiv

cs.CV

Submitted: 2026-09-30

Updated: 2026-09-30

Terminology

• Consistency — 19× in this paper · explained in 3 episodes
• Fidelity — 19× in this paper · explained in 2 episodes
• Benchmark — 15× in this paper · explained in 2 episodes
• Diffusion Model — 13× in this paper · explained in 8 episodes
• Temporal consistency — 13× in this paper · explained in 2 episodes
• Diffusion Models — 11× in this paper · explained in 6 episodes
• Transformer — 11× in this paper · explained in 2 episodes
• Ablation — 8× in this paper · explained in 1 episode
• Alignment — 8× in this paper · explained in 1 episode
• Computer Vision and Pattern Recognition — 6× in this paper
• Timestep-Adaptive Visual Modulation — 4× in this paper
• Flow Matching — 3× in this paper · explained in 8 episodes
• Generative Model — 3× in this paper · explained in 2 episodes
• Generative Models — 3× in this paper · explained in 2 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Adaptation — 2× in this paper · explained in 1 episode
• Generalization — 2× in this paper · explained in 13 episodes
• 3D Positional Encoding — 1× in this paper · explained in 1 episode
• Ablation Studies — 1× in this paper · explained in 1 episode
• Attention Mechanism — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• GRPO — 1× in this paper · explained in 6 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Latent Representation — 1× in this paper · explained in 2 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Positional Bias — 1× in this paper · explained in 2 episodes
• Rectified Flow — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Semantic Understanding — 1× in this paper · explained in 2 episodes
• World Model — 1× in this paper · explained in 7 episodes

Sources

• Dress&Dance: Dress up and Dance as You Like It - Technical Preview
• CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Models
• CatV2TON: Taming Diffusion Transformers for Vision-Based Virtual Try-On with Temporal Concatenation
• MAGREF: Masked Guidance for Any-Reference Video Generation with Subject Disentanglement
• ViViD: Video Virtual Try-on using Diffusion Models
• AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning
• PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models
• Identity-Consistent Video Generation under Large Facial-Angle Variations
• LoRA: Low-Rank Adaptation of Large Language Models
• Embedding-perturbed Exploration Preference Optimization for Flow Models
• HunyuanVideo: A Systematic Framework For Large Video Generative Models
• MagicTryOn: Harnessing Diffusion Transformer for Garment-Preserving Video Virtual Try-on
• RealVVT: Towards Photorealistic Video Virtual Try-on via Spatio-Temporal Consistency
• Flow Matching for Generative Modeling
• Controllable Layer Decomposition for Reversible Multi-Layer Image Generation
• Dreamix: Video Diffusion Models are General Video Editors
• DINOv2: Learning Robust Visual Features without Supervision
• Once Is Enough: Lightweight DiT-Based Video Virtual Try-On via One-Time Garment Appearance Injection
• ModaFlow: Modality-Aware Flow Matching for High-Fidelity Virtual Try-On
• DINOv3

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