iiinova — where your digital self keeps evolving

Few examples from the demo. You can generate various styles from a single prompt. You can either pick semantic matching images, or not and get unexpected results. [1] unsplash.com/photos/a-boa... [2] unsplash.com/photos/mount... [3] unsplash.com/photos/man-i... [4] unsplash.com/photos/macro...

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ReSWD - a Hugging Face Space by stabilityai

Thanks to my co-authors Andreas Engelhardt, Simon Donné, Varun Jampani Also check out the HF demo huggingface.co/spaces/stabi..., the code github.com/Stability-AI..., and the explainer youtu.be/ckcSgf0s-jI

huggingface.co

Create images using color matching and guidance features. Upload your reference images and get generated images that match the colors and styles.

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This can be used for multiple applications such as color matching or diffusion guidance. Here, we showcase the diffusion process of generating a medieval house with the reference to the right.

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Variance in MC is quite common in computer graphics so we combined ReSTIR -- more precisely the weighted reservoir sampling -- with SWD to keep more impactful random directions in the optimization.

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Mark Boss @markboss.bsky.social · 11/06/2025

Happy to announce: ReSWD. Sliced Wasserstein Distances are quite powerful, but they perform a Monte Carlo (MC) integration (over random directions). During an optimization this can lead to noisy gradients due to variance. Project page: reservoirswd.github.io

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I’ll also be sharing these and other works at the AI4CC workshop on the 12th at 11:00. ai4cc.net

ai4cc.net

AI for Content Creation Workshop

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Mark Boss @markboss.bsky.social · 11/06/2025

There was SV3D where we mostly discarded any SDS loss (only for unseen areas). I was mainly working on the 3D part and it required quite a few tricks to make it work. sv3d.github.io

sv3d.github.io

SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image using Latent Video Diffusion

SV3D generates novel multi-view synthesis from a single input image.

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Material Editing in CLIP Space

3️⃣ MARBLE: Edit materials effortlessly using simple CLIP feature manipulation, supporting exemplar-based interpolation or parametric edits across various styles. Check it out: marblecontrol.github.io

marblecontrol.github.io

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SPAR3D: Stable Point-Aware Reconstruction of 3D Objects from Single Images

2️⃣ SPAR3D (follow-up to SF3D): Integrates a fast point diffusion module, enhancing depth, backside modeling, and enabling easier editing. Project page: spar3d.github.io

spar3d.github.io

SPAR3D

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SF3D: Stable Fast 3D Mesh Reconstruction with UV-unwrapping and Illumination Disentanglement

1️⃣ SF3D: Generate textured, UV-unwrapped 3D assets with additional materials incredibly fast (<0.3s)! More details here: stable-fast-3d.github.io

stable-fast-3d.github.io

SF3D generates high quality 3D assets from a single input image.

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Zhenjun Zhao @ericzzj.bsky.social · 20/03/2025

I’m at CVPR this week! Looking forward to connecting and discussing all things graphics, 3D, and gen AI. I'll be presenting 3 papers—stop by and chat!

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Reposted by Mark Boss

Stable Virtual Camera: Generative View Synthesis with Diffusion Models Jensen (Jinghao)Zhou, Hang Gao, Vikram Voleti, @adyaman.bsky.social, Chun-Han Yao, @markboss.bsky.social, @philiptorr.bsky.social, Christian Rupprecht, Varun Jampani arxiv.org/abs/2503.14489

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Mark Boss @markboss.bsky.social · 08/01/2025

Check out the HF demo to test the model: huggingface.co/spaces/stabi.... The model (huggingface.co/stabilityai/...) is also available with code and Comfy Nodes github.com/Stability-AI.... We also have a project page available at spar3d.github.io

huggingface.co

Stable Point-Aware 3D - a Hugging Face Space by stabilityai

Discover amazing ML apps made by the community

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Mark Boss @markboss.bsky.social · 08/01/2025

One neat implication is that we can edit the point cloud to fix missing features or wrong scaling. We even created a small gradio component for simple edits in the demo (pypi.org/project/grad...)

An image showcasing editing of the point cloud representation to add a cup to a mug or a tail to a plush toy.

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Mark Boss @markboss.bsky.social · 08/01/2025

Happy to announce SPAR3D! A fast <1s single image to 3D reconstruction model that combines the best from diffusion and regression models by leveraging a point diffusion module to perform a fast initial point cloud. This aids 3D understanding for the mesh estimation stability.ai/news/stable-...

stability.ai

Introducing Stable Point Aware 3D: Real-Time Editing and Complete Object Structure Generation — Stability AI

Stable Point Aware 3D (SPAR3D) introduces real-time editing and complete structure generation of a 3D object from a single image in less than a second.

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A single procedural modeling system is a huge undertaking when you aim for a high quality level. Take speed tree for example which combines procedural aspects with hand authored elements and it’s an entire company dedicated to that.

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Yes I agree for certain things it can work. Simple cities (Manhattan style) and natural landscapes are rather well fitting and are explored heavily in video games already. Going for interiors or any object is another beast.

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The realistic rendering is not the problem and even full path tracing scenes is doable for room scale scenes on GPU. It still requires some denoising tho as otherwise rendering times are too long to generate any meaningful amount of data. But even then data is the bottleneck

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