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Mip-Splatting: Alias-free 3D Gaussian Splatting

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arxiv 2311.16493 v1 pith:DC7KIBVK submitted 2023-11-27 cs.CV

Zehao Yu , Anpei Chen , Binbin Huang , Torsten Sattler , Andreas Geiger This is my paper · ORCID
classification cs.CV
keywords filterdilationgaussianartifactschangingfrequencysamplingsplatting
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Recently, 3D Gaussian Splatting has demonstrated impressive novel view synthesis results, reaching high fidelity and efficiency. However, strong artifacts can be observed when changing the sampling rate, \eg, by changing focal length or camera distance. We find that the source for this phenomenon can be attributed to the lack of 3D frequency constraints and the usage of a 2D dilation filter. To address this problem, we introduce a 3D smoothing filter which constrains the size of the 3D Gaussian primitives based on the maximal sampling frequency induced by the input views, eliminating high-frequency artifacts when zooming in. Moreover, replacing 2D dilation with a 2D Mip filter, which simulates a 2D box filter, effectively mitigates aliasing and dilation issues. Our evaluation, including scenarios such a training on single-scale images and testing on multiple scales, validates the effectiveness of our approach.

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Forward citations

Cited by 5 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Manifold-GS: Certified Hybrid Assets via Varifold-Conservative Gaussian Splatting

    cs.CV 2026-07 conditional novelty 6.0 of 10

    Gaussian splat scenes can be exported as certified open patches with conservative mass transport, cutting collision-hallucination area versus watertight mesh baselines on three DTU scenes at lower coverage.

  2. 4DHumanDiff: Direct Text-to-4DGS Generation for Consistent 360-Degree Dynamic Humans

    cs.CV 2026-07 conditional novelty 6.0 of 10

    A diffusion model trained on 60,000 fitted 4D Gaussian Splatting human clips generates text-prompted, view-consistent dynamic humans directly in 4D, over 10x faster than video-first pipelines.

  3. 4D Gaussian Splatting with Scale-aware Residual Field and Adaptive Optimization for Real-time Rendering of Temporally Complex Dynamic Scenes

    cs.CV 2024-12 conditional novelty 6.0 of 10

    SaRO-GS models dynamic scenes with 4D Gaussians plus a scale-aware residual field and adaptive per-Gaussian optimization, achieving state-of-the-art PSNR at real-time frame rates on D-NeRF and Plenoptic Video datasets.

  4. Quo Vadis, World Modeling?

    cs.CV 2026-08 conditional novelty 5.0 of 10

    An agent-centric reframing of world modeling, replacing physical state prediction with 'information transitions' organized into six proxy functions and three empowerment levels.

  5. DyGASR: Dynamic Generalized Exponential Splatting with Surface Alignment for Accelerated 3D Mesh Reconstruction

    cs.CV 2024-11 conditional novelty 5.0 of 10

    DyGASR reconstructs 3D meshes faster and with less memory by replacing Gaussians with generalized exponential splats, adding SuGaR-style surface alignment, and training at progressively higher resolutions.

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