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Fashion VDM
Overview :
Fashion-VDM is a video diffusion model (VDM) designed to generate virtual try-on videos. This model accepts an image of a garment and a video of a person as input, aiming to produce high-quality videos showcasing the person wearing the specified clothing while preserving their identity and movements. Compared to traditional image-based virtual try-on, Fashion-VDM excels in garment detail and temporal consistency. The main advantages of this technology include: a diffusion architecture, classifier-free guidance enhancing control, progressive temporal training strategies for generating 64-frame 512px videos in one pass, and the effectiveness of joint image-video training. Fashion-VDM sets a new industry standard in the realm of video virtual try-on.
Target Users :
The target audience includes fashion designers, clothing retailers, and enthusiasts of virtual try-on technology. Fashion-VDM helps designers and retailers offer virtual try-on experiences to customers without the need for actual garment production, reducing inventory costs while providing cutting-edge AI fitting experiences for technology enthusiasts.
Use Cases
Fashion designers using Fashion-VDM to create personalized try-on videos for their clients.
E-commerce platforms utilizing Fashion-VDM to offer virtual fitting room services, enhancing customer shopping experiences.
Clothing brands showcasing the try-on effects of new collections on social media through Fashion-VDM to attract potential customers.
Features
- Video diffusion model: Generates high-quality virtual try-on videos.
- Maintaining identity and motion: Preserves a person’s original characteristics during the try-on process.
- Classifier-free guidance: Enhances control over conditional inputs.
- Progressive temporal training: Improves temporal consistency in video generation.
- Joint image-video training: Boosts training effectiveness when video data is limited.
- 3D-Conv and temporal attention blocks: Maintain temporal coherence in videos.
- Multi-condition signal control: Independently manage multiple conditional signals.
How to Use
1. Prepare images of the clothing and videos of the person.
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2. Upload the input data to the Fashion-VDM model.
3. Select the desired try-on effects and parameter settings.
4. Launch the model to generate the virtual try-on video.
5. Observe and evaluate the quality of the generated video, ensuring clothing details and timing consistency.
6. If necessary, adjust parameters and regenerate the video until satisfied.
7. Utilize the generated virtual try-on video for design evaluation, customer presentations, or other purposes.
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