Off The Grid: Detection of Primitives for Feed-Forward 3D Gaussian Splatting
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Abstract (arXiv)
Feed-forward 3D Gaussian Splatting (3DGS) models enable real-time scene generation but are hindered by suboptimal pixel-aligned primitive placement, which relies on a dense, rigid grid that limits both quality and efficiency. We introduce a new feed-forward architecture that detects 3D Gaussian primitives at a sub-pixel level, replacing the pixel grid with an adaptive, ``Off-The-Grid" distribution. Inspired by keypoint detection, our decoder learns to locally distribute primitives across image patches. We also provide an Adaptive Density mechanism by assigning varying number of primitives per patch based on Shannon entropy. We combine the proposed decoder with a pre-trained 3D reconstruction backbone and train them end-to-end using photometric supervision without any 3D annotation. The resulting pose-free model generates photorealistic 3DGS scenes in seconds, achieving state-of-the-art novel view synthesis for feed-forward models. It outperforms competitors while using far fewer primitives, demonstrating a more accurate and efficient allocation that captures fine details and reduces artifacts. Project page: https://arthurmoreau.github.io/OffTheGrid/.
Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). Builds on 62 of its 74 references that are in the map. First posted on arXiv 17 Dec 2025.
Builds on
62 of 74 references.
References · 62
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- 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,177
- 2023DINOv2: Learning Robust Visual Features without Supervisioncited by 7,974
- 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,226
- 2022Instant Neural Graphics Primitives with a Multiresolution Hash Encodingcited by 3,723
- 2017ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenescited by 3,117
- 2021Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fieldscited by 2,032
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- 2024Grounding Image Matching in 3D with MASt3Rcited by 983
- 2025Depth Anything 3: Recovering the Visual Space from Any Viewscited by 692
38 more
- 2023pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstructioncited by 684
- 2021Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstructioncited by 652
- 2021KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3Dcited by 575
- 2024MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Imagescited by 566
- 2023DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Visioncited by 537
- 2019BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networkscited by 490
- 2021ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Datacited by 454
- 2023Gaussian Splatting SLAMcited by 415
- 2023Splatter Image: Ultra-Fast Single-View 3D Reconstructioncited by 364
- 2024GS-LRM: Large Reconstruction Model for 3D Gaussian Splattingcited by 349
- 2025π3: Permutation-Equivariant Visual Geometry Learningcited by 319
- 2025MapAnything: Universal Feed-Forward Metric 3D Reconstructioncited by 314
- 2024DepthSplat: Connecting Gaussian Splatting and Depthcited by 286
- 2024No Pose, No Problem: Surprisingly Simple 3D Gaussian Splats from Sparse Unposed Imagescited by 248
- 2025AnySplat: Feed-forward 3D Gaussian Splatting from Unconstrained Viewscited by 243
- 2024Taming 3DGS: High-Quality Radiance Fields with Limited Resourcescited by 204
- 2023COLMAP-Free 3D Gaussian Splattingcited by 193
- 2024LVSM: A Large View Synthesis Model with Minimal 3D Inductive Biascited by 189
- 2025FLARE: Feed-forward Geometry, Appearance and Camera Estimation from Uncalibrated Sparse Viewscited by 180
- 2024Splatt3R: Zero-shot Gaussian Splatting from Uncalibrated Image Pairscited by 178
- 2024Revising Densification in Gaussian Splattingcited by 128
- 2021SMD-Nets: Stereo Mixture Density Networkscited by 120
- 2024MVSplat360: Feed-Forward 360 Scene Synthesis from Sparse Viewscited by 116
- 2024RGBD Objects in the Wild: Scaling Real-World 3D Object Learning from RGB-D Videoscited by 115
- 2024RaDe-GS: Rasterizing Depth in Gaussian Splattingcited by 111
- 2023Human Gaussian Splatting: Real-time Rendering of Animatable Avatarscited by 105
- 2024FreeSplat: Generalizable 3D Gaussian Splatting Towards Free-View Synthesis of Indoor Scenescited by 89
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- 2018Numerical Coordinate Regression with Convolutional Neural Networkscited by 72
- 2023HiFi4G: High-Fidelity Human Performance Rendering via Compact Gaussian Splattingcited by 70
- 2024InstantSplat: Sparse-view Gaussian Splatting in Secondscited by 70
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- 2025VolSplat: Rethinking Feed-Forward 3D Gaussian Splatting with Voxel-Aligned Predictioncited by 48
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- 2025DashGaussian: Optimizing 3D Gaussian Splatting in 200 Secondscited by 38
50 most cited of 62 All 62 (JSON)
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Citing papers per year: 2026: 11.
11 papers.
- 2026Feed-Forward 3D Scene Modeling: A Problem-Driven Perspectivecited by 6
- 2026Face Anything: 4D Face Reconstruction from Any Image Sequencecited by 2
- 2026SplatWeaver: Learning to Allocate Gaussian Primitives for Generalizable Novel View Synthesiscited by 2
- 2026Learn2Splat: Extending the Horizon of Learned 3DGS Optimizationcited by 1
- 2026Wild3R: Feed-Forward 3D Gaussian Splatting from Unconstrained Sparse Photo Collectioncited by 1
- 2026ComPose: When to Trust Hands for Object Pose Trackingcited by 0
- 2026G2SR: Geometric Methods for Fast and Memory-Efficient Gaussian-based Surface Reconstructioncited by 0
- 2026Compact Feed-Forward 3D Gaussians via Saliency-Guided Primitive Mergingcited by 0
- 2026PhGS: Post-Hoc Pruning and Refinement of Single-View Feed-Forward 3D Gaussian Reconstructionscited by 0
- 2026PocketSplat: Mobile Gaussian Reconstruction via World-Space Latent Allocatiocited by 0
- 2026CompactSplat: Spatially Adaptive Gaussian Distribution for Feedforward Scene Reconstructioncited by 0
- 2026CompactSplat: Spatially Adaptive Gaussian Distribution for Feedforward Scene Reconstruction9 Oct 2026
- 2026PocketSplat: Mobile Gaussian Reconstruction via World-Space Latent Allocatio2 Oct 2026
- 2026PhGS: Post-Hoc Pruning and Refinement of Single-View Feed-Forward 3D Gaussian Reconstructions17 Sep 2026
- 2026Compact Feed-Forward 3D Gaussians via Saliency-Guided Primitive Merging11 Aug 2026
- 2026G2SR: Geometric Methods for Fast and Memory-Efficient Gaussian-based Surface Reconstruction16 Jul 2026
- 2026Wild3R: Feed-Forward 3D Gaussian Splatting from Unconstrained Sparse Photo Collection10 Jun 2026
- 2026ComPose: When to Trust Hands for Object Pose Tracking22 May 2026
- 2026Learn2Splat: Extending the Horizon of Learned 3DGS Optimization15 May 2026
- 2026SplatWeaver: Learning to Allocate Gaussian Primitives for Generalizable Novel View Synthesis8 May 2026
- 2026Face Anything: 4D Face Reconstruction from Any Image Sequence21 Apr 2026
- 2026Feed-Forward 3D Scene Modeling: A Problem-Driven Perspective15 Apr 2026