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V2Fun
Generate 3D character with 8K textures and AI motion capture
1.2K followers
Generate 3D character with 8K textures and AI motion capture
1.2K followers
V2Fun is an AI 3D creation platform built with self-developed 3D modeling and AI motion capture models. It helps creators turn images, prompts, and videos into high-quality 3D models, enhance assets with advanced 8K texture generation, and create motion-ready characters without switching between separate modeling, texturing, and mocap tools. V2Fun also supports image generation through models including Nano Banana and others, so creators can explore visual concepts and bring them into 3D faster.
Congratulations on the launch!
the all in one workflow sounds like a huge time saver.how accurate is the AI motion capture when using videos recorded on a regular smartphone? does it require any cleanup before exporting animations?
V2Fun
@avery_thompson2 Thank you! Our AI motion capture is highly accurate and can easily track complex movements like dancing or fighting from standard smartphone footage, as long as the full body is clearly in frame and camera stays static.
V2Fun
Hi Product Hunters! 👋
I’m Pan Ji, Founder & CEO of Vertex Lab, and I’m incredibly excited to introduce V2Fun to the community today!
Throughout my years working in Silicon Valley and later directing XR initiatives at Tencent, I experienced firsthand a persistent industry bottleneck: the barrier to entry for high-quality 3D content creation is simply too high. As we rapidly move into the era of spatial computing, creating 3D assets remains slow, expensive, and intensely technical.
That’s exactly why our team built V2Fun. Instead of relying on traditional 2D-to-3D distillation methods, we are pioneering Native 3D Generative AI and 3D World Models to fundamentally reshape spatial intelligence.
What you can do with V2Fun today:
AI-Driven Modeling: Generate high-fidelity 3D models in a fraction of the traditional time.
Seamless Animation: Bring your generated assets to life with intuitive animation and video tools.
Workflow Integration: Designed for both prosumers experimenting with 3D and professionals needing robust assets for spatial displays.
I’d love to hear your thoughts! What kind of 3D content are you looking to create? I’ll be hanging out in the comments all day to answer any questions about our tech stack, the platform, or the future of 3D Gen AI. 🚀
Cheers, Pan
V2Fun
@pan_ji1 Thanks Pan! I’ll also be here today to collect feedback from creators and answer questions around launch offers, use cases, and community feedback.
V2Fun
@pan_ji1 Thanks Pan! Excited to be here with the team today 🚀
Most AI 3D tools are fun for demos but hard to use in real projects. How close is V2Fun to production-ready assets?🧐
V2Fun
@1251912798 Great point, Gary. V2Fun is closer to a fast concepting and pre-production workflow today, rather than fully production-ready for every use case.
The scale answer in the manufacturing thread above matters for the 3D printing side too. Watertight is one thing, but print people also need millimeters, a 28mm mini and a 200mm display piece are completely different jobs and the slicer wants real dimensions. If everything lands on a generic normalized scale, can you set a reference height before export, or is that a resize in the slicer for now? Congrats on the launch 👏
V2Fun
@dai_sheen Thank you so much! For now, you'll need to set the desired height directly inside your slicing software. However, we completely understand how crucial this is for 3D printing. We are already working on a feature that will let you set specific physical dimensions—like 6cm, 8cm, or 12cm—directly on V2Fun before you export. Thanks for the great feedback and the launch congratulations!
How consistent are the generated textures across different viewing angles? That has been one of the biggest issues I’ve noticed with similar tools.
V2Fun
@blink_66 This is indeed a classic pain point with 3D generative AI. To solve this, we strictly align our textures with the original reference image. Additionally, we’ve developed a multi-view texturing approach that generates and projects textures from multiple angles, which directly addresses and resolves the issue of multi-view consistency.
Nice launch! How does the motion capture perform when the source video is recorded with a phone rather than a studio camera?
V2Fun
@orman_canida That is actually exactly what we designed it for! You don't need a professional studio camera at all. Our single-camera algorithm is highly optimized to extract high-precision 3D motion from ordinary phone videos. For the best results, just keep the phone relatively stable, make sure the person's entire body is visible in the frame, and ensure decent lighting. As long as those basics are covered, you can easily shoot a quick clip on your phone and watch your character bring it to life!
motion capture from a regular video is the part that removes a tool, not just adds one. does it hold up on messy footage, two people or occlusion?
V2Fun
@andrewzakonov It actually holds up remarkably well! For occlusion, our AI predicts and interpolates hidden joints to keep the motion fluid even when a limb is temporarily blocked. When it comes to messy footage with multiple people, our latest update includes a feature that lets you manually select a specific target subject in the video. This allows the pipeline to ignore background noise and extract clean motion data solely from the person you chose.