Image-to-Image
GaussianFormer
Safetensors
3d-gaussian-splatting
neural-rendering
novel-view-synthesis
transformer
pytorch_model_hub_mixin
model_hub_mixin
Instructions to use shahafvl/gaussianformer-v21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GaussianFormer
How to use shahafvl/gaussianformer-v21 with GaussianFormer:
# pip install "gaussianformer @ git+https://github.com/SVLwoof/gaussianformer" from gaussianformer import GaussianFormerRenderingPipeline, load_ply pipeline = GaussianFormerRenderingPipeline.from_pretrained("shahafvl/gaussianformer-v21").to("cuda") gaussians = load_ply("object.ply") # 3D Gaussian Splatting PLY -> [N, 14] - Notebooks
- Google Colab
- Kaggle
File size: 644 Bytes
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"cov_key_embed": false,
"dim_feedforward": 3072,
"dpt_features": 128,
"dpt_out_channels": [
96,
192,
384,
768
],
"latent_dim": 768,
"num_heads": 6,
"num_layers": 12,
"num_register_tokens": 16,
"patch_size": 4,
"pos_pe_num_freqs": 12,
"proj_rope_2d": true,
"ray_embed_patch": 8,
"ray_rope_2d_dim": 16,
"ray_rope_2d_scale": 0.25,
"view_bf16": true,
"view_grad_checkpoint": true,
"view_transformer_ffn_hidden_dim": 3072,
"view_transformer_latent_dim": 768,
"view_transformer_n_heads": 6,
"view_transformer_n_layers": 6,
"xattn_margin": 1.0,
"xattn_sigmas": 3.0,
"xattn_window": 0
} |