Generative 3D Gaussians with Learned Density Control
Paper • 2605.16355 • Published
TripoSplat: Generative 3D Gaussians with Learned Density Control
TripoSplat converts a single 2D image into high-quality and variable number of 3D Gaussians developed by TripoAI. It can serve as a powerful pipeline tool for asset creation, AR/VR, game development, simulation environments, and beyond.
Usage
To use with the official inference code, place the files in the following structure:
📂 TripoSplat/
├── 📂 ckpts/
│ ├── 📂 background_removal/
│ │ └── birefnet.safetensors
│ ├── 📂 diffusion_models/
│ │ └── triposplat_fp16.safetensors
│ ├── 📂 clip_vision/
│ │ └── dino_v3_vit_h.safetensors
│ ├── 📂 vae/
│ │ ├── flux2-vae.safetensors
│ │ └── triposplat_vae_decoder_fp16.safetensors
To use with ComfyUI, place the files in the following structure:
📂 ComfyUI/
├── 📂 models/
│ ├── 📂 background_removal/
│ │ └── birefnet.safetensors
│ ├── 📂 diffusion_models/
│ │ └── triposplat_fp16.safetensors
│ ├── 📂 clip_vision/
│ │ └── dino_v3_vit_h.safetensors
│ ├── 📂 vae/
│ │ ├── flux2-vae.safetensors
│ │ └── triposplat_vae_decoder_fp16.safetensors
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