Image-to-Image
PyTorch
novel-view-synthesis
multi-view
autoregressive
3d

Add the OpenReview URL to the BibTeX

#1
by rusrakhimov - opened
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  1. README.md +26 -11
README.md CHANGED
@@ -6,6 +6,9 @@ tags:
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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
@@ -13,29 +16,41 @@ tags:
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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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- - πŸ“„ Paper: <arXiv link> Β· [OpenReview](https://openreview.net/forum?id=dTzafRJOTR)
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  - 🌐 Project page: https://smileyenot983.github.io/namvis
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  - πŸ’» Code: https://github.com/smileyenot983/namvis
 
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  ## Files
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  | File | Description |
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  |---|---|
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  | `namvis_1b.pth` | NAMVIS 1B transformer (256Γ—256) |
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- | `infinity_vae_d32reg.pth` | Multi-scale VQ-VAE from [Infinity](https://huggingface.co/FoundationVision/Infinity) (frozen, unchanged, MIT) |
 
 
 
 
 
 
 
 
 
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  ## Details
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  - Resolution: 256Γ—256
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- - Input: one or more posed source images + target camera poses
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- - Trained on a filtered subset (~200K objects) of Objaverse; see Objaverse for per-asset licenses
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-
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  ## Citation
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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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- }
 
 
 
 
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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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+ - πŸ“„ Paper: [OpenReview](https://openreview.net/forum?id=dTzafRJOTR)
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  - 🌐 Project page: https://smileyenot983.github.io/namvis
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  - πŸ’» Code: https://github.com/smileyenot983/namvis
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+ - πŸ—‚οΈ 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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  |---|---|
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  | `namvis_1b.pth` | NAMVIS 1B transformer (256Γ—256) |
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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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+
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+ ## Usage
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+
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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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+
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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: 256Γ—256
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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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+ ```