Not specified
3 proposals
We are looking for a 3D GenAI Engineer / AI 3D Pipeline Developer
We need to create a solution that can qualitatively generate 3D models from one or more images. It is important that this is not just a ready-made demo, but a clear and reproducible process: from the input image to a full-fledged 3D asset with mesh, geometry, textures, and the possibility of further use.
What needs to be done:
* test modern image-to-3D models and approaches;
* determine which option is best suited for our task;
* understand Trellis, Hunyuan3D, or similar solutions;
* if necessary, use Gaussian Splatting in the 3D pipeline;
* set up the conversion of Gaussian Splat / splat representation into a 3D mesh;
* obtain usable geometry;
* generate high-quality textures;
* bring the result to a usable 3D asset state;
* find the optimal balance between quality, generation speed, and pipeline complexity;
* build a clear process that can be repeated for different images;
* perform fine-tuning, LoRA, or other model adaptations for specific types of objects;
* be able to work with ComfyUI: understand graphs, use the ComfyUI API, and write custom nodes if necessary.
In your response, be sure to show a few examples in the format: input image and the resulting 3D model. The format does not matter: render, video, 3D viewer, GLB, OBJ, FBX, or Blender file.
We are primarily interested in realistic objects: furniture, jewelry, interior items, decor, accessories, and other physical goods. Examples from anime or stylized characters are not suitable.
