The fashion industry is on the verge of a revolution: Virtual try-ons are becoming increasingly realistic and offer customers a more immersive shopping experience. A promising approach in this area is the use of 3D models and diffusion models to virtually try on clothes in videos of people. This technology, known as 3DV-TON (Textured 3D-Guided Consistent Video Try-On), allows clothing to be rendered realistically and consistently across multiple video frames.
Previous methods for virtual try-on often encountered difficulties, particularly in realistically representing folds, fabric movements, and adapting to the body shape of the person in the video. 3DV-TON addresses these challenges by integrating 3D information of the garment. Instead of just projecting a 2D image of the clothing onto the video, 3DV-TON uses a 3D model of the garment, which is dynamically adjusted to the movements of the person. This enables a significantly more realistic representation that mimics the natural movement and drape of the fabric.
The integration of diffusion models plays a crucial role in generating convincing results. Diffusion models are a class of generative AI models that are capable of producing highly realistic images. In the context of 3DV-TON, they are used to transfer the texture of the garment onto the 3D model and to smooth the transitions between individual video frames, resulting in a consistent and fluid result.
The technology has the potential to fundamentally change the online shopping experience. Customers can virtually try on clothes without having to physically hold them in their hands. This reduces the number of returns, saves resources, and offers a more personalized shopping experience. The technology also offers advantages for fashion retailers: They can present a wider selection of clothing to their customers and reduce the costs of physical fittings.
The development of 3DV-TON is still in its early stages, but the initial results are promising. Future research could focus on improving the accuracy and speed of the technology, as well as expanding the application possibilities, for example, to the virtual try-on of accessories or shoes. It is expected that 3D-guided video try-on technologies will play an increasingly important role in online commerce in the future.
For companies like Mindverse, which specialize in AI-powered content creation and customized solutions, technologies like 3DV-TON open up new possibilities. The integration of 3D models and diffusion models into existing platforms could offer customers an even more comprehensive and interactive experience. From chatbots and voicebots to AI search engines and knowledge systems – the application possibilities are diverse and promise to shape the future of online commerce and customer interaction.
Bibliographie: - https://arxiv.org/abs/2504.17414 - https://arxiv.org/html/2504.17414v1 - https://2y7c3.github.io/pdfs/3dvton.pdf - https://www.aibase.com/news/17541 - https://x.com/_akhaliq/status/1915675935522660846 - https://x.com/Almorgand/status/1915750592707805475 - https://twitter.com/_akhaliq/status/1915675938156695925 - https://huggingface.co/papers - https://openreview.net/pdf/79e3ee77bdeb3fbc8f395b7e80fec52c7af39546.pdf