← Back to Product Feed

GitHub Open Source TencentARC/Pixal3D

[SIGGRAPH 2026] Pixal3D: Pixel-Aligned 3D Generation from Images

1,397
Traction Score
116
Forks
May 10, 2026
Launch Date
View Origin Link

Product Positioning & Context

[SIGGRAPH 2026] Pixal3D: Pixel-Aligned 3D Generation from Images

Related Ecosystem & Alternatives

Discover adjacent products, open-source repositories, and developer tools sharing similar technical architecture.

Deep-Dive FAQs

What is TencentARC/Pixal3D?
TencentARC/Pixal3D is a digital product or tool described as: [SIGGRAPH 2026] Pixal3D: Pixel-Aligned 3D Generation from Images
Where did TencentARC/Pixal3D originate?
Data for TencentARC/Pixal3D was aggregated directly from the GitHub Open Source community ecosystem, representing raw developer and early-adopter sentiment.
When was TencentARC/Pixal3D publicly launched?
The initial public indexing or launch date for TencentARC/Pixal3D within our tracked developer communities was recorded on May 10, 2026.
How popular is TencentARC/Pixal3D?
TencentARC/Pixal3D has achieved measurable traction, logging over 1,397 traction score and facilitating 116 recorded discussions or engagements.
Are there active development issues for TencentARC/Pixal3D?
Yes, we are currently tracking open architectural debates and bug reports for this project on GitHub. There are currently 5 active high-priority issues logged recently.
What are some commercial alternatives to TencentARC/Pixal3D?
Our semantic intelligence engine identifies potential commercial alternatives in the SaaS space, such as WX , which offers overlapping value propositions.
How does the creator describe TencentARC/Pixal3D?
The original author or development team describes the product as follows: "[SIGGRAPH 2026] Pixal3D: Pixel-Aligned 3D Generation from Images"

Active Developer Issues (GitHub)

open Multi-view version checkpoint/code
Logged: May 14, 2026
open Scene generation pipeline
Logged: May 14, 2026
open VRAM requirement?
Logged: May 14, 2026
open The generated result is not satisfactory.
Logged: May 14, 2026
open UV env support
Logged: May 12, 2026

Community Voice & Feedback

LDYang694 • May 21, 2026
Thanks for raising this. For Windows users, there is already a community implementation that provides Windows-related installation instructions which may be useful as a reference:

https://github.com/Saganaki22/Pixal3D-ComfyUI

In particular, the README includes a “Windows Wheel Order” section covering PyTorch CUDA, the required Pixal3D CUDA wheels (`flex_gemm_ap`, `cumesh_vb`, `o_voxel_vb_ap`, `drtk`), FlashAttention, and optional NATTEN/libnatten setup. It also includes recommended Windows loader settings and fallback options for NATTEN/NAF.

This is a ComfyUI integration rather than an official setup guide, but it may help Windows users get Pixal3D running while official `uv` / Windows environment support is still being considered.
Simon-Piquemal • May 14, 2026
LDYang694 • May 14, 2026
> After several tests on my end, I'm also reaching the same conclusion. I tested it on a chair, and the chair legs have incorrect dimensions. Trellis in normal mode gives better results — the solution would be multi-image, but we'd need to manage to get a good calibration. I also tried using [anycalib](https://huggingface.co/spaces/simonpick/anycalib-gpu) to remove the distortion from the images and improve the result, but it doesn't change much.

Thanks for the testing. Could you please provide the original chair input image? We can take a closer look at the issue.
LDYang694 • May 14, 2026
> Input:
>
>
> output:
>
>
deepblue96 • May 14, 2026
there is no hope to run it on windows as you use NATTEN and they refuse to support windows even when local compiled...
and no there are no wheels compatible with the current trellis torch version
Simon-Piquemal • May 14, 2026
Simon-Piquemal • May 14, 2026
After several tests on my end, I'm also reaching the same conclusion. I tested it on a chair, and the chair legs have incorrect dimensions. Trellis in normal mode gives better results — the solution would be multi-image, but we'd need to manage to get a good calibration. I also tried using [anycalib](https://huggingface.co/spaces/simonpick/anycalib-gpu) to remove the distortion from the images and improve the result, but it doesn't change much.
LDYang694 • May 14, 2026
Thanks for the feedback!

For the environment setup, we have been using the current TRELLIS.2-based configuration internally and it works on our side. However, we have not tested the setup on Windows, since we currently do not have a corresponding Windows environment for validation. If you have a working `uv`-based setup or Windows-specific fixes, PRs are very welcome!

Regarding the HF demo, we have deployed the Space using our own GPU resources. You can click the **“Free Deploy Server”** option on the left side of the Space to run the demo without using your own credits.

Hope this helps, and enjoy!
zwukong • May 13, 2026
Thanks ,but your a little advice, wheels are better to be in a new project, too big. Too slow to pull in china, github is almost banned in china. And most of the wheels are useless for one platform
visualbruno • May 12, 2026
You can try it using ComfyUI-Trellis2, branch pixal3d: https://github.com/visualbruno/ComfyUI-Trellis2/tree/pixal3d
It's in beta, I'm still working on it, but it works
thuzhaowang • May 12, 2026
感谢您的关注和支持!Pixal3D在一致性上确实有一定的优势,但在细节质量、表面光滑度、结构合理性等维度均明显弱于Hunyuan3D 3.1等闭源模型。如果Pixal3D能带来一些新的想法,或在特定场景下有更适合的应用,就已经很好了。

我们会去调研一下comfyui的实现可能性,感谢您的建议!

Discovery Source

GitHub Open Source GitHub Open Source

Aggregated via automated community intelligence tracking.

Tech Stack Dependencies

No direct open-source NPM package mentions detected in the product documentation.

Media Tractions & Mentions

No mainstream media stories specifically mentioning this product name have been intercepted yet.

Deep Research & Science

No direct peer-reviewed scientific literature matched with this product's architecture.