| --- |
| license: mit |
| tags: |
| - 3d-gaussian-splatting |
| - novel-view-synthesis |
| - pose-free |
| - feed-forward |
| datasets: |
| - re10k |
| pipeline_tag: image-to-3d |
| --- |
| |
| # EvenSplat: Compact Pose-Free Feed-Forward 3D Gaussian Splatting |
|
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| **Kyoosuk Hwang · Junyoung Kwon** · Seoul National University of Science and Technology · Capstone Design 2026 |
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| [Code](https://github.com/junyoung6215/EvenSplat) · [Method](https://github.com/junyoung6215/EvenSplat/blob/main/docs/METHOD.md) · [Reproduce](https://github.com/junyoung6215/EvenSplat/blob/main/docs/REPRODUCE.md) |
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|  |
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| **EvenSplat** renders novel views from **two unposed images** using **25 to 75% of the per-pixel Gaussians** |
| that [NoPoSplat](https://github.com/cvg/NoPoSplat) predicts. It keeps the same fraction of Gaussians in every |
| 2 × 2 pixel cell, drops low-reliability Gaussians first, and is fine-tuned with that pruning in the loop. |
|
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| ## Checkpoints |
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| | File | Gaussians kept | #Gaussians | PSNR ↑ | SSIM ↑ | LPIPS ↓ | |
| | --- | :-: | :-: | :-: | :-: | :-: | |
| | [`retention_r25_re10k.ckpt`](https://huggingface.co/kyoosuk/EvenSplat/blob/main/retention_r25_re10k.ckpt) | 25% | 33K | 24.62 | 0.817 | 0.184 | |
| | [`retention_r50_re10k.ckpt`](https://huggingface.co/kyoosuk/EvenSplat/blob/main/retention_r50_re10k.ckpt) | 50% | 66K | 25.01 | 0.829 | 0.169 | |
| | [`retention_r75_re10k.ckpt`](https://huggingface.co/kyoosuk/EvenSplat/blob/main/retention_r75_re10k.ckpt) | 75% | 98K | 25.26 | 0.837 | 0.161 | |
| | NoPoSplat (reported) | 100% | 131K | 25.03 | 0.838 | 0.160 | |
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| RealEstate10K full test set (5,590 evaluable scenes), 256 × 256, two context views, pose alignment on. |
| At 50%, peak render memory drops from 167 MB to 87 MB. |
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| <img src="https://raw.githubusercontent.com/junyoung6215/EvenSplat/main/docs/figures/psnr_vs_gaussians.png" alt="PSNR against the number of Gaussians for EvenSplat and comparison methods" width="60%"> |
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| Each file holds model weights only (no optimizer state), about 2.45 GB. They are for evaluation; to fine-tune |
| again, start from the base checkpoint |
| [`kyoosuk/noposplat-olp-rel-re10k`](https://huggingface.co/kyoosuk/noposplat-olp-rel-re10k) |
| (`epoch_1-step_75000.ckpt`). Every model was fine-tuned from it for 10K steps at its own ratio: 2 × 2 cells, |
| r threshold 0.35, batch 1 × 4 accumulation, lr 2e-5. |
|
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| ## Usage |
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| Set up the environment and data as in the [repository README](https://github.com/junyoung6215/EvenSplat#requirements), then: |
|
|
| ```bash |
| hf download kyoosuk/EvenSplat retention_r50_re10k.ckpt --local-dir checkpoints |
| |
| python scripts/run_retention.py --config my_settings.yaml eval-grid --split full \ |
| --checkpoint checkpoints/retention_r50_re10k.ckpt \ |
| --baselines none --scores r_filter --ratios 0.5 --run-id ours_r50 --execute |
| ``` |
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| Use the `--ratios` value that matches the file (0.25, 0.5 or 0.75). |
|
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| ## Acknowledgements |
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| Built on [NoPoSplat](https://github.com/cvg/NoPoSplat), and in turn on |
| [pixelSplat](https://github.com/dcharatan/pixelsplat), [DUSt3R](https://github.com/naver/dust3r) and |
| [CroCo](https://github.com/naver/croco). Released under the MIT License. |
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