Thanks for this! I have the exact use-case and have been using a Python script to do this for a while.

Hello HN,

This is Harsha, from the team at 3difyMe. We rolled out the first version of 3difyMe a week ago and wanted to get some feedback from HN community.

<TLDR>

3difyMe converts flat photos of T-shirts and other apparel into 3D models. You can generate multiple combinations by changing the {human, pose, background, footwear} and click unlimited photos or videos. These are ready to go to your online store or marketing platforms.

</TLDR>

—— Longer version aka Why are we doing this?

Circa Nov 2021, we were toying around with realistic 3D human models and wondered what business problems we could solve. Avatars were one (thanks to the incoming metaverse). But we didn't know if the timing was right. So we explored further and stumbled upon the E-commerce photography space. At the moment, apparel retailers typically use photos that are: 1. Flat-lay 2. Shot on a mannequin 3. Shot by professional agencies

Cost, effort, time and quality increase as you move down this list. A typical agency will charge you $15/product with a minimum order of 20 products and deliver in 2 weeks.

At 3difyMe we are trying to go from 1 to 3 using tech. No minimum order. And 1 minute to get results.

Here are our hypotheses about this: Set 1: > Smaller retailers doing flat-lay will be able to improve their visuals significantly with little effort. > Bigger retailers should be able to reduce spend, time and effort for a slight trade-off on quality.

Set 2: The ‘per image’ limit is irrelevant in a virtual studio. You’re free to take as many photos as you want. If retailers had a lot of photos, they could: > A/B test their visuals > Improve their marketing game with additional content at no extra cost

Set 3: In 2022, consumer attention is fully engaged in video (TikTok, YouTube, Netflix) and retailers barely have access to this medium. That’s because apparel video shoots are difficult and expensive. But not in 3D! > The next innovation cycle in retail is video and 3difyMe could make it accessible.

—— A note about the open source we’ve used: 3difyMe is built with Blender, ThreeJS and React. It’s just about amazing and unbelievable that these masterpieces are free and maintained so actively. We plan to contribute back both in code and funding in the near future. We ♥ you Blender and ThreeJS.

—

Feedback of all kinds is welcome. On product, market and product-market fit. :)

If you want to personally reach out, please write to us at harsha@3dify.me and team@3dify.me.

What's happening behind the scenes? Without knowing that it's hard to take the claim of 'no server involvement' at face value.

Does the sender have to be up for the receiever to receive?

It seems to use WebRTC. Sender have to be up.

Yes, sender has to up. Also the file must not be deleted. I checked both and the transfer was interrupted. Neat. :)

The latter will surely depend on your operating system and its file handling semantics. In general, in Windows if something is reading a file and you delete the file, then you're actually deleting the file and the reader will be interrupted (assuming you manage to set it up in a way such that you actually can delete the file at all). In Linux, when you delete a file, you are actually unlinking the file from the directory, so the reader maintains a reference to the actual file and can carry on as normal. The free space will be reclaimed when the reference count decreases to zero when the reader closes the file.

Given how impossible it is achieve global consensus on policy, I'm pretty inclined to believe that a technological breakthrough is the only solution. Maybe a series of them.

In the best case, carbon removal and sequestration tech. In the neutral case, clean and efficient energy tech. In the worst case, climate-catastrophe coping tech.

This does resonate with me!

Happy to discuss and help you where possible. How can I reach out to you? Or maybe you can send me a 'hi' at harsha.xg{at}gmail.com?

Thanks for the suggestions @warrenm.

While I understand the importance of climate awareness and community building, I'm afraid that isn't where I shine.

Anything more technical, maybe in the fields of camera-traps, drone deployment, remote-sensing, satellite imagery, GIS, data analysis/viz etc may be a better fit. Trying to look for a way to get started in these.

Thanks again for taking the time to reply. Really appreciate it!

We are interested to solve the reverse problem of finding the mask of text given an image with text on it. Any ideas? Machine-learnt or otherwise.

+1 Will help many devs who do remote work and have to take calls.

We haven't decided on the pricing nor implemented it in code. That's the next thing to do. Probably we'll roll out both bundles ($x for y images) or subscriptions.

As for the copy, you're right. We need a lot of improvement on targeting. We thought LSPs and marketers are going to be main customers. Have to refine there. Our first idea was to do an API but we deferred it as the output still needs a pair of human eyes to approve.

Thank you for the feedback and wishes. Really appreciate it!

> takes many hours to manually do this right now

This was also the original problem we set out to solve. Thank you for letting us know that more people share the same problem. Unfortunately we haven't yet gotten it into the hands of the marketing agencies.

If you are ok with it, can you send us a 'hello' mail at team{at}imgtranslate.com so that we can discuss a little more with you.

Cheers