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.
V2Fun
Hi Product Hunt! This is Tammy 👋 We’re excited to launch V2Fun today.
Creating a usable 3D character is still too fragmented. You often need one tool for modeling, another for texturing, another for animation, and sometimes even a motion capture setup just to make the character move.
V2Fun brings these steps into one AI-powered workflow.
You can start with an image or text prompt, generate a 3D character, enhance it with 8K textures, and bring it to life using AI motion capture from regular videos.
With this launch, we’re especially excited to introduce two new features:
- 8K textures for more detailed and presentation-ready 3D characters
- AI motion capture to turn regular videos into character motion
Our goal is to help game makers, character creators, 3D printing hobbyists, and animation-driven creators move faster from idea to usable 3D assets.
We’re just getting started, and we’d love to hear your thoughts, questions, or suggestions below.
🔗 Try V2Fun: https://v2fun.ai
🐦 Follow our updates: https://x.com/v2fun_ai
👥 Join our community: https://discord.com/invite/2uBMRp275u
📩 Reach out: tammy@vertexlab.ai
Can’t wait to see what you create with V2Fun!
PicWish
V2Fun
@mohsinproduct Thanks for your messges. Sorry but not at the moment. Currently, all generated 3D assets are normalized to a generic scale, meaning the platform cannot generate models with the precise, real-world dimensions required for manufacturing or CAD hardware assets. However, introducing precise physical scaling and CAD-compatible workflows is definitely a direction we are actively exploring for our future roadmap!
@tammytan516 interesting that you call out 3d printing hobbyists. most tools in this space chase game devs only. are the exported meshes watertight enough to print without cleanup? that alone would win that crowd over. good luck today 👏
V2Fun
@artem_fedorovich Thanks Artem! Totally agree, 3D printing users are an important crowd for us. Right now, V2Fun can generate downloadable meshes that are useful for concepting and prototyping, but for direct printing, some cleanup or watertight checks may still be needed depending on the model. Making outputs more print-ready is definitely something we want to improve.
@tammytan516 Quick question: for someone building characters for small games or indie animations, how customizable are the generated rigs and animations? Specifically, can I tweak joint constraints, retarget mocap to different body proportions, or export a clean rig and animation tracks into standard tools for further refinement?
V2Fun
@swati_paliwal You can export clean rigged assets to FBX, GLB, OBJ, STL, USDZ, and BLEND for further editing in tools like Blender, Unity, or Unreal. Mocap can also be retargeted to different character proportions, and we’re continuously improving rig customization. 🙌
@tammytan516 Upvoted, nice launch. Technical product like this usually needs the first email to do a lot of explaining, curious how you're handling that.
V2Fun
@alex_iliescu Thanks, Alex! We’re focusing our onboarding emails on real use cases and quick wins, helping users get their first usable 3D asset instead of overwhelming them with features.
@tammytan516 That's the smarter play, get people to one real win fast instead of a feature tour. Onboarding that respects attention span usually wins over the "here's everything we built" version.
V2Fun
@alex_iliescu Exactly our thinking. Get users to their first success fast, then let them explore the rest naturally. Thanks for the feedback!
@tammytan516 Congrats on the launch, I’m curious about the AI motion capture feature: how well does it handle regular phone videos with imperfect lighting or a moving camera? Also, can the generated character and animation be exported directly for use in game engines like Unity or Unreal?
V2Fun
@vahid_davoudi Thanks! Our AI motion capture works well with regular phone videos and handles moderate camera movement in most cases. For best results, we recommend keeping the subject visible with decent lighting. And yes, you can export the generated characters and animations for further use in Blender, Unity, Unreal, and other standard workflows.
@tammytan516 Thanks Tammy, that’s exactly what I wanted to know. The Blender/Unity/Unreal export makes this much more practical for real production workflows.
The built-in retopology tool is nice. Most AI 3D demos look great in the preview then hand you a triangle soup nobody can animate, so quad remeshing inside the same pipeline is smarter to spend effort on than another texture upsell. On the mocap side, the breakdancing clips are a good stress test, but the case that usually breaks single-camera capture could be occlusion. Does the model interpolate through those moments? Great product!
V2Fun
@artstavenka1 Thank you so much! Regarding occlusion during motion capture, you hit on a classic challenge. To handle those moments where limbs are blocked, our AI model is specifically trained to predict and interpolate hidden joint movements, keeping the animation fluid even when parts of the body are temporarily out of sight. Additionally, in our latest update, we’ve introduced a new feature for multi-person videos that allows you to select a specific subject to target and extract motion from, making the pipeline even more robust.
Thanks again for the support and the highly professional feedback!
V2Fun
@artstavenka1 Thanks for noticing! Killing the "triangle soup" was a huge priority for us so these assets are actually usable.
To your mocap question: Yes! Our model understands spatial kinematics, so instead of failing during occlusion, it calculates and interpolates the physical trajectory through the blind spot.
We'd love to hear how further stress tests go!
"Self-developed 3D modeling and AI motion capture models" is an interesting claim to lead with since most platforms in this space are building on top of existing open models or licensed tech. What's actually proprietary in V2Fun's stack versus built on top of existing foundations, and what does "self-developed" cover specifically, the training data, the architecture, the fine-tuning approach, or something else?
V2Fun
@ansari_adin Our core 3D generation and AI motion capture capabilities are built in-house, while we also integrate and optimize different technologies where they make sense. For us, “self-developed” mainly refers to our core models, training pipeline, and end-to-end workflow optimization that power the V2Fun experience.
@tammytan516 "Integrate and optimize different technologies where they make sense" is honest but leaves the question open about which parts of the pipeline are genuinely proprietary versus integrated. For a potential production user deciding whether V2Fun's output quality is defensible over time, the distinction matters because fine-tuned open models can be replicated by competitors with similar training budgets, whereas truly novel architecture is harder to match. Which layer do you think is actually hardest for competitors to replicate?
Triforce Todos
Quick Q, How does the AI motion capture handle fast or complex movements? Does it stay accurate, or does it start to glitch out?
V2Fun
@abod_rehman Excellent question. To handle high-speed and intricate actions, we utilize our proprietary AI motion capture model. In our testing, the system performs remarkably well even with highly demanding and complex movements, such as breakdancing, maintaining tracking stability with minimal glitching. We highly encourage you to test it out on the platform to see how it handles your specific motion requirements!
I’ve tried a few AI 3D tools, and the biggest issue is usually messy geometry. How does V2Fun handle that?
V2Fun
@zhenyue_qin Totally agree, messy geometry is still a big challenge in AI 3D.
We’re optimizing V2Fun’s self-developed 3D model for more usable character structure, not just good-looking previews. Hands, hair, and accessories are still areas we’re actively improving.
V2Fun
@zhenyue_qin You have highlighted one of the most critical challenges in AI-driven 3D generation—specifically, disorganized topology and irregular triangular meshes.
To address this issue, V2Fun features a built-in online Retopology tool. This function allows you to perform mesh decimation and convert triangular faces into clean, quad-dominant geometry based on your specific project requirements, ensuring your models are optimized and production-ready.
We invite you to experience this feature on our platform, and we would highly appreciate any professional feedback you might have.
the 3D + motion capture + texturing pipeline in one tool is the part that stands out, most of the AI 3D tools I've tried make you bounce between separate apps for modeling vs rigging vs texture, and that handoff is where most of the quality gets lost. curious how the motion capture holds up on non-humanoid rigs, or is it mainly tuned for character work right now?
V2Fun
@omri_ben_shoham1 Thank you for the kind words! Keeping everything in a single pipeline to stop that "handoff" quality loss was exactly our goal. Regarding motion capture, it is currently tuned strictly for humanoid characters. We are actively working on expanding this capability to animal rigs and other non-humanoid shapes.
Those features are gradually being added to our roadmap, so please stay tuned!
V2Fun
@omri_ben_shoham1 Thanks! That’s exactly the workflow gap we’re trying to reduce.
Right now, our mocap is mainly optimized for humanoid character motion. Non-humanoid rigs are an area we’re still exploring, and we’d love to support more creature/object-style motion workflows over time.
The AI motion capture feature caught my attention. I'm curious how well it handles videos with heavy camera movement or partial occlusion? Since those tend to break tracking.
V2Fun
@reda_roqai_chaoui Heavy camera movement and occlusion are definitely challenging cases. V2Fun performs best with relatively stable videos, and we’re continuously improving tracking robustness for more complex scenarios.
V2Fun
@reda_roqai_chaoui Thanks for checking it out!
We've integrated robust tracking algorithms that offer great stability against heavy camera movement and partial occlusion. However, to be completely transparent, if the subject completely disappears from the frame, the tracking will still drop. We are actively researching how to tackle these extreme edge cases for future updates!