Incredibly excited to share that @mirage_ml is joining @harvey__ai! Looking forward to working closely with @gabepereyra @winstonweinberg @nikogrupen @nayakkayak @_mayankkishore @SreeTrips and the rest of the team to accelerate legal AI!

The Current State of Generative 3D (Aug 2023) At Mirage, we’ve kept our platform at the edge of generative 3D starting with CLIP-Mesh by Nasir → GET3D by NVIDIA → Stable Dreamfusion by Google (implemented by ashawkey) → Point-E by OpenAI → Shap-E by OpenAI. We’ve spent time optimizing these open-source repos to produce usable game assets in multiple formats (recently GLTF). Today, we are open-sourcing Mirage3D. This repo is built upon the fantastic work of the folks mentioned above and is optimized to create GLB files easily. github.com/MirageML/Mirage3D Try out the repo yourself and consider contributing to help create a single source of truth for open-source generative 3D models, optimized to create usable 3D assets! The Problem Generative 3D is progressing slower than other modalities (audio, video, image, etc) due to the lack of 3D data online. Unlike image models, it seems that closed-source models are going to have a significant quality improvement over open-source models. Open-Source is Far Behind There are a few notable open-source repositories that have been released recently. Shap-E: Very efficient model from @OpenAI is able to generate meshes and NeRFs from text or an image. Takes about 1 minute to generate. One-2–3–45: Very impressive image reconstruction technique that can create multi-view images from a single input and use SDF to reconstruct the NeRF. Recently improved further with Zero123-XL released by @allen_ai. Closed Models are Pulling Ahead There are a few companies that have produced very impressive results with generative 3D. @CSM_ai: CSM recently launched their image-to-3D service (CSM Cube) which has produced stunning results. @LumaLabsAI: Luma’s Imagine3D is currently the best text-to-3D model available. Future + Rumors: @nvidia is developing a text-to-3D model in partnership with @TurboSquid (owned by @Shutterstock). Early reports say that quality is extremely high. @midjourney is expected to release a text-to-3D model later this year. Game Studios like @EpicGames are likely working on 3D models due to their access to a huge library of assets! The generative 3D space has the potential to disrupt numerous industries. I’m personally excited to see how we adapt to this new paradigm of creation!