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by rusrakhimov - opened
README.md
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- multi-view
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- autoregressive
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- 3d
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---
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# NAMVIS: Next-Scale Autoregressive Multi-View Image Synthesis
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Pretrained weights for **NAMVIS** (NeurIPS 2026), a diffusion-free, geometry-conditioned
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next-scale autoregressive model for sparse-view novel view synthesis.
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- π Paper:
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- π Project page: https://smileyenot983.github.io/namvis
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- π» Code: https://github.com/smileyenot983/namvis
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## Files
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| File | Description |
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| `namvis_1b.pth` | NAMVIS 1B transformer (256Γ256) |
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| `infinity_vae_d32reg.pth` | Multi-scale
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## Details
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- Resolution: 256Γ256
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- Input: one or more posed source images
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- Trained on
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## Citation
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- multi-view
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- autoregressive
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- 3d
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datasets:
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- smileyenot983/objaversexl_sketchfab_pmap
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- smileyenot983/objaversexl_github6.5_pmap
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---
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# NAMVIS: Next-Scale Autoregressive Multi-View Image Synthesis
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Pretrained weights for **NAMVIS** (NeurIPS 2026), a diffusion-free, geometry-conditioned
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next-scale autoregressive model for sparse-view novel view synthesis.
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- π Paper: [OpenReview](https://openreview.net/forum?id=dTzafRJOTR)
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- π Project page: https://smileyenot983.github.io/namvis
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- π» Code: https://github.com/smileyenot983/namvis
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- ποΈ Training data: [Part 1](https://huggingface.co/datasets/smileyenot983/objaversexl_sketchfab_pmap) Β· [Part 2](https://huggingface.co/datasets/smileyenot983/objaversexl_github6.5_pmap)
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## Files
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| File | Description |
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| `namvis_1b.pth` | NAMVIS 1B transformer (256Γ256) |
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| `infinity_vae_d32reg.pth` | Multi-scale visual tokenizer from [Infinity](https://huggingface.co/FoundationVision/Infinity) (frozen, unchanged, MIT) |
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## Usage
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```bash
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hf download smileyenot983/NAMVIS namvis_1b.pth infinity_vae_d32reg.pth --local-dir weights
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```
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Inference, evaluation, and fine-tuning commands are in the
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[code repository](https://github.com/smileyenot983/namvis).
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## Details
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- Resolution: 256Γ256
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- Input: one or more posed source images and target camera poses
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- Trained on renders of Objaverse-XL objects: Sketchfab objects ([Part 1](https://huggingface.co/datasets/smileyenot983/objaversexl_sketchfab_pmap)) and GitHub objects with an object-quality score above 6.5 ([Part 2](https://huggingface.co/datasets/smileyenot983/objaversexl_github6.5_pmap)). See Objaverse-XL for per-asset licenses.
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## Citation
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```bibtex
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@inproceedings{khafizov2026namvis,
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title = {{NAMVIS}: Next-Scale Autoregressive Multi-View Image Synthesis},
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author = {Khafizov, Ramil and Statsenko, Ilya and Rakhimov, Ruslan and Komarichev, Artem and Wonka, Peter and Burnaev, Evgeny},
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booktitle = {Advances in Neural Information Processing Systems},
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year = {2026},
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url = {https://openreview.net/forum?id=dTzafRJOTR}
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}
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```
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