| Universal Beta Splatting | ✓ Link | 34.92 | 0.975 | 0.026 | | | UBS-6D | 2025-09-30 |
| Deformable Beta Splatting | ✓ Link | 34.66 | 0.973 | 0.028 | | | Deformable Beta Splatting | 2025-01-27 |
| Depth Peeling for High-Fidelity Gaussian-Enhanced Surfel Rendering | | 34.13 | 0.97 | 0.03 | | | DP-GES | 2026-05-25 |
| Compact 3D Scene Representation via Self-Organizing Gaussian Grids | ✓ Link | 33.7 | 0.969 | 0.031 | | 4.1 | Self-Organizing Gaussians | 2023-12-19 |
| How Far Can We Compress Instant-NGP-Based NeRF? | ✓ Link | 33.69 | 0.968 | 0.044 | | | CNC (F=8, lambda=0.7e-3) | 2024-06-06 |
| Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering | ✓ Link | 33.68 | | | | | Scaffold-GS | 2023-11-30 |
| PointGT: Simultaneous Geometric and Textural Editing for Point-Based Representations | | 33.57 | 0.982 | 0.021 | | | PointGT | 2026-09-08 |
| Mip-Splatting: Alias-free 3D Gaussian Splatting | ✓ Link | 33.36 | 0.969 | 0.031 | | | Mip-Splatting | 2023-11-27 |
| Compact 3D Gaussian Representation for Radiance Field | ✓ Link | 33.33 | 0.968 | 0.034 | | | C3DGS | 2023-11-22 |
| 3D Gaussian Splatting for Real-Time Radiance Field Rendering | ✓ Link | 33.32 | | | | | 3D Gaussian Splatting (30K) | 2023-08-08 |
| LOD-GS: Achieving Levels of Detail using Scalable Gaussian Soup | | 33.24 | 0.966 | | | | LOD-GS | 2025-06-11 |
| HashPoint: Accelerated Point Searching and Sampling for Neural Rendering | ✓ Link | 33.22 | 0.961 | 0.055 | | | HashPoint | 2024-04-22 |
| Ref-GS: Directional Factorization for 2D Gaussian Splatting | | 33.2 | | | | | Ref-GS | 2024-12-01 |
| K-Planes: Explicit Radiance Fields in Space, Time, and Appearance | ✓ Link | 33.18 | | | | | I-NGP | 2023-01-24 |
| K-Planes: Explicit Radiance Fields in Space, Time, and Appearance | ✓ Link | 33.14 | 0.963 | | | | TensoRF | 2023-01-24 |
| CompGS: Smaller and Faster Gaussian Splatting with Vector Quantization | ✓ Link | 33.10 | | | | | CompGS 4K | 2023-11-30 |
| Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields | ✓ Link | 33.09 | 0.961 | 0.043 | | | Mip-NeRF | 2021-03-24 |
| 2D Gaussian Splatting for Geometrically Accurate Radiance Fields | ✓ Link | 33.07 | | | | | 2D Gaussian Splatting | 2024-03-26 |
| Compressed 3D Gaussian Splatting for Accelerated Novel View Synthesis | ✓ Link | 32.936 | 0.967 | 0.033 | | | Compressed 3D Gaussian Splatting | 2023-11-17 |
| LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS | ✓ Link | 32.725 | 0.965 | 0.0370 | | | LightGaussian | 2023-11-28 |
| IRIS: Intersection-aware Ray-based Implicit Editable Scenes | ✓ Link | 32.65 | 0.957 | 0.034 | | | IRIS | 2026-03-16 |
| DaReNeRF: Direction-aware Representation for Dynamic Scenes | | 32.42 | | | | | DaReNeRF | 2024-03-04 |
| K-Planes: Explicit Radiance Fields in Space, Time, and Appearance | ✓ Link | 32.36 | 0.967 | | | | K-Planes (hybrid) | 2023-01-24 |
| K-Planes: Explicit Radiance Fields in Space, Time, and Appearance | ✓ Link | 32.21 | 0.964 | | | | K-Planes (explicit) | 2023-01-24 |
| K-Planes: Explicit Radiance Fields in Space, Time, and Appearance | ✓ Link | 31.71 | 0.958 | | | | Plenoxels | 2023-01-24 |
| MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures | ✓ Link | 31.65 | 0.952 | 0.051 | | | JAXNeRF | 2022-07-30 |
| Accelerating Neural Field Training via Soft Mining | ✓ Link | 31.38 | 0.95 | 0.07 | | | Soft Mining (Ours) | 2023-11-29 |
| NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis | ✓ Link | 31.01 | 0.947 | 0.081 | | | NeRF | 2020-03-19 |
| MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures | ✓ Link | 31 | 0.947 | 0.081 | | | NeRF | 2022-07-30 |
| MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures | ✓ Link | 30.9 | 0.947 | 0.062 | | | MobileNeRF | 2022-07-30 |
| MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures | ✓ Link | 30.38 | 0.95 | 0.05 | | | SNeRG | 2022-07-30 |
| One is All: Bridging the Gap Between Neural Radiance Fields Architectures with Progressive Volume Distillation | ✓ Link | | | | 30.76 | | PVD_Hash2NeRF | 2022-11-29 |