3dgs-method-compare

name	3dgs-method-compare
description	Compare 3D Gaussian Splatting variants across 10+ dimensions. Built-in knowledge of 548+ methods across 25 categories.
version	1.4.8
author	jaccen
tags	["3dgs","gaussian-splatting","method-comparison","research"]

3DGS Method Comparison Engine

You are an expert in 3D Gaussian Splatting methods with deep knowledge of 548+ variants. Your task is to provide rigorous, multi-dimensional comparisons between different 3DGS approaches.

Capabilities

• Compare any combination of 3DGS variants across 10+ technical dimensions
• Generate publication-quality comparison tables
• Analyze design trade-offs and identify positioning
• Provide recommendation based on specific use cases

Comparison Dimensions

When comparing methods, analyze across the following dimensions:

1. Primitive Representation

• Shape: Full 3D Gaussian / 2D disk / 1D splat / hybrid / spatially-varying (SVGS)
• Anisotropy: Isotropic / Anisotropic / Semi-anisotropic
• Parameterization: (μ, Σ, opacity, SH) / (center, normal, scale, opacity) / custom / (μ, Σ, spatially-varying color+opacity, SH) (SVGS)

2. Opacity / Alpha Mechanism

• Range: [0, 1] / [-1, 1] / unbounded / sigmoid / tanh
• Signed support: Yes (signed α) / No (standard GS)
• Negative mechanism: Negative color (NegGS) / Negative opacity (signed) / None

3. Color Representation

• Spherical Harmonics order: 0/1/2/3
• Color space: RGB / HDR / Feature vectors
• Negative color support: Yes (NegGS) / No

4. Rendering Formulation

• Rasterization: Tile-based / Forward / Deferred
• Blending: Front-to-back / Back-to-front
• Anti-aliasing: EWA splatting / Mip-aware / None

5. Frequency & Geometry Modeling

• High-frequency boundary: Explicit / Implicit / None
• Surface quality: Point-based / Surfels / Hybrid
• Geometric constraints: Depth normal / ESDF / Mesh prior

6. Density Control

• Strategy: Clone + Split + Prune / Progressive / Anchor-based
• Adaptivity: Gradient-based / Loss-based / Statistics-based
• Compression: Pruning / Quantization / Distillation

7. Training Strategy

• Resolution schedule: Coarse-to-fine / Fixed
• Iterations: 7k / 30k / custom
• Regularization: Depth / Normal / Smoothness / Sparsity

8. Performance Characteristics

• Speed (FPS): Real-time (>30) / Interactive (10-30) / Offline (<10)
• Memory: VRAM requirement
• Storage: Model size (MB)
• Scalability: Small object / Room-scale / City-scale

9. Applicable Scenarios

• Novel view synthesis
• Surface reconstruction
• 3D editing
• Dynamic scenes
• Large-scale scenes
• Autonomous driving

10. Code & Reproducibility

• Official implementation available
• Framework: PyTorch / JAX / CUDA / Custom
• Dependencies

Rendering Formulation Comparison

Method	Primitive	Compositing	Key Feature
3DGS	3D Anisotropic Gaussian	alpha-compositing (front-to-back)	Tile-based rasterization
Softmax-GS	3D Anisotropic Gaussian	Softmax competition	Replaces α-compositing with learnable softmax
Mip-Splatting	3D Anisotropic Gaussian + Mip	alpha-compositing	3D smoothing + 2D Mip filter
3DGEER	3D Anisotropic Gaussian	Exact ray-Gaussian integral	Replaces splatting with exact rendering
SNS	Azzalini Skew-Normal Distribution	alpha-compositing	Learnable skewness for asymmetric boundaries

Known Methods Database

Foundation Methods

Method	Venue	Primitive	Opacity	Key Feature
3DGS	SIGGRAPH'23	3D anisotropic	[0,1] sigmoid	Tile-based rasterization
Mip-Splatting	CVPR'24 (Best Student Paper)	3D anisotropic + Mip	[0,1]	3D smoothing + 2D Mip filter, alias-free
2DGS	SIGGRAPH'24	2D disk	[0,1]	Better surface reconstruction
Scaffold-GS	ICCV'23	Anchor+3D	[0,1]	Anchor-based scalability
Scaffold-GS+	CVPR'24	Anchor+3D	[0,1]	Progressive training
Softmax-GS	CVPR'26 (Findings)	3D anisotropic	Softmax competition	Replaces α-compositing with learnable softmax; blend-vs-bound
LeGS	arXiv'26	3D anisotropic	RL-controlled	RL-based learnable density control replacing heuristics; O(N) reward
SNS	arXiv'26 (2605.15010)	Skew-Normal	[0,1]	Skew-Normal primitive replacing symmetric Gaussian kernels; continuous interpolation between symmetric Gaussian ↔ Half-Gaussian via learnable skewness

Signed / Decomposed Methods

Method	Opacity Range	Color Range	Mechanism
NegGS	[0, +∞) (non-negative)	ℝ (negative allowed)	Negative color + Diff-Gaussian
(Standard GS)	[0, 1] via sigmoid	[0, +∞)	Standard α-compositing

Critical Distinction: Methods using "negative" concepts differ fundamentally:

• Signed opacity (α ∈ [-1,1]): Opacity α can be negative, rendering formula modified. The Gaussian primitive itself carries a sign. Better for sharp geometric boundaries.
• NegGS: Opacity remains non-negative, but color values can be negative. Uses Diff-Gaussian (subtraction of two Gaussians) to model ring/crescent structures.

Compression Methods

Method	Compression Ratio	Quality Impact	Speed
Compact-3DGS	10-15x	Minimal PSNR drop	Faster
LightGS	15-20x	Slight drop	Much faster
MobileGS	50-100x	Moderate drop	Real-time mobile
Embedded-3DGS	10x	Minimal	Comparable
HAC	~100x	Slight drop	Faster after decode
OT-UVGS	UV tensor	↑ vs spherical UVGS	Same as UVGS
NanoGS	Training-free	Minimal (KNN merge)	CPU-only, instant
MesonGS++	34x	Minimal	Faster after decode (0-1 ILP hyperparameter search)
GETA-3DGS	5x	Minimal	First end-to-end automatic joint structured pruning + quantization; QADG; render-aware saliency
CAGS	~7x (streaming)	Minimal	VQ-based compression with Level-of-Detail streaming; progressive decode for bandwidth-adaptive deployment
MGS	arXiv'26 (2603.19234)	Any LoD prefix	Matryoshka continuous LoD via stochastic budget training; renders any prefix k splats

Robustness / Regularization Methods

Method	Venue	Prior Source	Key Feature
EnerGS	arXiv'26	LiDAR (partial geometric)	Energy-based soft guidance instead of hard constraints; improves outdoor large-scale scenes
Luminance-GS++	TPAMI'26	Illumination prior	Illumination-robust NVS; decouples shading from geometry

Geometry / Surface Methods

Method	Venue	Surface Quality	Key Feature
2DGS	SIGGRAPH'24	High	Oriented 2D disks for geometry
SuGaR	CVPR'24	High	Surface-aligned regularization
PGSR	TVCG'24	Highest (SOTA)	Planar regularizer + unbiased depth rendering
PAGaS	arXiv'26	High (depth)	1DoF Gaussians for depth refinement
Vol3DGS	CVPR'25	High	Volume-consistent rendering
2D-SuGaR	arXiv'26	Highest (DTU SOTA)	2DGS + monocular depth/normal priors; depth-guided init; clustering-based pruning
IRIS	arXiv'26 (2603.15368)	Hybrid	GS-proxy neural field with analytical ray intersection; hybrid rendering
DiffSoup	arXiv'26 (2603.27151)	Extreme simplification	Triangle soup as alternative primitive to Gaussians
3DSS	arXiv'26 (2605.05876)	High (inverse rendering)	First differentiable surface splatting; coverage-based compositing from EWA; joint shape+SVBRDF+lighting
SVGS	arXiv'24 (2411.18966)	High (Blender SOTA)	Spatially varying color+opacity within each Gaussian; movable kernels (1.4x params); >30 FPS
AmbiSuR	ICML'26	High (photometric)	Photometric ambiguity disambiguation for accurate GS surface reconstruction
DySurface	arXiv'26	High (4D surface)	Bridges explicit Gaussians and implicit SDF for consistent 4D surface reconstruction

Generation / Text-to-3D

Method	Venue	Input	Output	Key Feature
DreamGaussian	ICLR'24 (Oral)	Text prompt	3D mesh + 3DGS	SDS + 3DGS prior, seconds
GaussianEditor	Preprint	Text/geometry mask	Edited 3DGS	CLIP-guided selection + editing
ArtifactWorld	arXiv'26 (2604.12251)	Artifact images	Restored video	Video generation for artifact restoration
SceneGen-LLMRL	arXiv'26 (2605.05711)	Language	Interactive 3D scene	LLM-RL coupling for unified 3D scene generation + immersive interaction

Language / Semantic

Method	Venue	Feature Source	3D Storage	Key Feature
LangSplat	CVPR'24	CLIP (2D distillation)	Per-Gaussian CLIP features	Open-vocabulary 3D queries
Feature 3DGS	CVPR'24	DINO/SAM (2D distillation)	Per-Gaussian feature vectors	Downstream task features
NRGS	arXiv'26	Neural network	Learned regularization	Robust semantic 3DGS
Semantic Foam	CVPR'26 (Highlight)	Volumetric Voronoi mesh	Per-cell semantic feature field	Semantic decomposition; outperforms Gaussian Grouping, SAGA
GLMap	CVPR'26	Multi-scale semantics	Per-Gaussian language features	Gaussian-Language Map; zero-shot navigation
NG-GS	arXiv'26 (2604.14706)	NeRF-guided	Per-Gaussian segmentation	NeRF-guided GS segmentation
PointGS	CVPR'26	SAM masks (contrastive distillation)	Per-Gaussian semantic features	3DGS as unified intermediate for unsupervised 3D point cloud segmentation; SAM→3D contrastive learning

Feed-Forward Methods

Method	Venue	#Gaussians	Inference	Key Feature
GlobalSplat	Preprint'26	~16K	<78ms	Global scene tokens, 4MB footprint
MVSplat	ECCV'24	Variable	Single-pass	Cost-volume-based prediction
GS-LRM	ECCV'24	Variable	Single-pass	1B transformer, zero-shot generalization
DepthSplat	CVPR'25	Variable	Single-pass	Stereo-guided depth regularization
InstantSplat	arXiv'24	Variable	~40s total	Pose-free sparse-view
AnySplat	SIGGRAPH'25	Variable	Single-pass	In-the-wild unconstrained views
SparseSplat	CVPR'26	22% of SOTA	Single-pass	Pixel-unaligned, entropy-based probabilistic sampling, 3D-Local Attribute Predictor
OT-UVGS	EG'26	UV tensor	Same as UVGS	OT-based UV mapping, O(N log N)
Free Geometry	arXiv'26	Adaptive	Single-pass + LoRA	Self-evolving feed-forward, +3.73% camera accuracy
FTSplat	arXiv'26 (2603.05932)	Variable	Single-pass	Feed-forward triangle splatting
ZPressor	NeurIPS'25 (2505.23734)	Compressed latent tokens	Single-pass, 100+ views	Bottleneck-aware compression for scalable multi-view feed-forward 3DGS
PM-Loss	3DV'26 (2506.05327)	Variable	Training loss only	Pointmap-supervised depth regularization; smoother boundaries with no inference overhead
VolSplat	arXiv'25 (2509.19297)	Voxel-aligned	Single-pass	Shared voxel-space Gaussian prediction for multi-view consistency
SplatWeaver	arXiv'26 (2605.07287)	Variable	Single-pass	Cardinality Gaussian Expert Routing (Null/1/2/3 experts per pixel) + DWT frequency prior; 30% Gaussian budget with +1.02 dB PSNR over AnySplat

SLAM Methods

Method	Venue	Input	Scale	Key Feature
Gaussian Splatting SLAM	CVPR'24 (Highlight)	Monocular video	Room-scale	First real-time monocular 3DGS SLAM, differentiable rendering for joint pose+map
CGS-SLAM	IROS'25	Monocular video	Room-scale	Voxel-based compact representation for efficiency
WildGS-SLAM	CVPR'25	Monocular video	Room-scale	Dynamic environments, uncertainty-aware mapping via pretrained 3D priors
S3PO-GS	ICCV'25	Monocular video	Outdoor	Scale-consistent pose optimization, eliminates outdoor scale drift
Flow4DGS-SLAM	arXiv'26	Monocular video	Room-scale	Optical flow-guided 4DGS for temporal consistency
E2EGS	CVPR'26 (2603.14684)	Event camera	Room-scale	Event-camera pose-free 3D reconstruction
MAGS-SLAM	arXiv'26	RGB (multi-agent)	Multi-room	First RGB-only multi-agent 3DGS SLAM; compact submap communication + geometry/appearance-aware loop verification

Large-Scale Methods

Method	Venue	Scale	Key Feature
Scaffold-GS	ICCV'23	Building	Anchor-based efficiency
Scaffold-GS+	CVPR'24	City	Progressive training
CityGaussian	ECCV'24	City	Hierarchical LOD
Street Gaussians	ECCV'24	Street	Static/dynamic decomposition, driving scenes
Octree-GS	Preprint	City	Octree acceleration + LOD

Cross-Domain Applications

Method	Venue	Domain	Key Feature
GS-DOT	arXiv'26	Medical (DOT)	Diffusion transport for photon imaging
BiSplat-WRF	IEEE ICC'26 Workshop	Wireless (WRF)	Planar GS + bilinear spatial transformer for EM coupling
FieryGS	ICLR'26	Physics simulation	Physics-integrated fire synthesis
SplAttN	ICML'26 (Spotlight)	Point cloud completion	Gaussian soft splatting for point cloud completion
Fake3DGS	ICPR'26	Forensics	First benchmark for 3D manipulation detection in neural rendering
SandSim	arXiv'26	Digital art	Curve-guided Gaussian for sand painting reconstruction
RGS	arXiv'26	Medical (CBCT)	Residual wavelet-GS for sparse-view CBCT
RESPIRE	arXiv'26	Medical (bronchoscopy)	CT-informed mesh-anchored GS for dynamic bronchoscopy
Color-Encoded Illumination	CVPR'26 (Highlight)	High-speed imaging	Color-coded temporal info for volumetric reconstruction
HDR-NSFF	ICLR'26 (2603.08313)	Dynamic HDR scenes	HDR dynamic scene neural scene flow fields
3DGS AD Safety Eval	SafeComp'26	Autonomous driving	Industrial fidelity evaluation for AD perception
HeroGS	CVPR'26	Sparse-view NVS	Hierarchical guidance for sparse-view robust 3DGS
Sparse-View 3DGS Wild	arXiv'26	Sparse-view NVS	Diffusion-guided sparse-view enhancement
Pi-GS	arXiv'26 (2602.03327)	Sparse-view NVS	Sparse-view with π³ reference-free initialization
GS-Surrogate	arXiv'26 (2604.06358)	Physics simulation	Deformable GS for simulation visualization
3DGEER	ICLR'26	Rendering (exact)	Exact ray-Gaussian rendering replacing splatting; fisheye/generic camera support; top 1%
Forecast-GS	arXiv'26	Robotics	Predictive GS for forecasting task-completed states in robotic manipulation
GaussianGrasper	T-RO'24	Robotics / Grasping	Open-vocabulary grasping via SAM+CLIP feature distillation into 3DGS
GraspSplats	CoRL'24	Robotics / Grasping	Zero-shot manipulation with 3D feature splatting; scene editing support
ManiGaussian	ECCV'24	Robotics / Manipulation	Dynamic GS world model for multi-task manipulation via future scene prediction
GSMem	arXiv'26	Embodied Reasoning	3DGS as persistent spatial memory for zero-shot embodied exploration & QA
RoboSplat	RSS'25	Robotics / Data Gen	Diverse data generation via Gaussian primitive manipulation; 87.8% success
VR-Robo	RAL'25	Robotics / Navigation	Real-to-Sim-to-Real for visual robot navigation without depth sensors
GSDrive	arXiv'26	Driving RL	3DGS environment for reinforcing driving policies
GeoQuery	SIGGRAPH'26	Sparse-view NVS	Geometry-guided cross-view attention with geometry-aligned proxy queries from predicted depth
PairDropGS	arXiv'26	Sparse-view NVS	Paired dropout-induced consistency regularization with progressive scheduling
VidSplat	SIGGRAPH'26	Sparse-view NVS	Training-free generative framework leveraging video diffusion priors with iterative confidence refinement
OCH3R	arXiv'26 (2605.13018)	Single RGB	Object-Centric Holistic 3D from single RGB; per-pixel CLIP + 6D pose + per-object Gaussians

Dynamic / 4DGS Methods

Method	Venue	Primitive	Rendering	Key Feature
FreeTimeGS++	arXiv'26 (2605.03337)	4D Gaussians + durations	Gated marginalization	Neural velocity fields + emergent temporal partitioning; comprehensive 4DGS analysis
ParticleGS	arXiv'26	3D anisotropic + physics	Standard α-compositing	Physics-based motion extrapolation for fluid/dynamic scenes; Lagrangian particle dynamics
TransmissiveGS	arXiv'26	Dual-GS (surface + reflection)	Deferred shading	Transmissive + reflective dual decomposition; separate G-buffer compositing for glass/refractive objects
PD-4DGS	arXiv'26	3-layer progressive (static + global deform + local refine)	Progressive streaming	DASH/HLS-compatible 4DGS streaming; ~1.7s first-frame latency vs 73-930s monolithic
3DGS³	arXiv'26	3D anisotropic (super-sampled)	Standard + temporal interpolation	Gradient-Aware Super Sampling + Lightweight Temporal Frame Interpolation for large-scale 3DGS
BlitzGS	arXiv'26	3D anisotropic (distributed)	Parity-based multi-GPU	Distributed city-scale GS training; parity-based sharding across multi-GPU; eliminates single-GPU memory bottleneck
Z-Order GS	arXiv'26	3D anisotropic (Z-ordered)	Z-order curve indexing	Z-order curve spatial indexing for cache-coherent Gaussian traversal; improved rendering throughput
PanoPlane	arXiv'26	Planar (panoramic)	Plane-based compositing	Panoramic plane-based GS for omnidirectional NVS; efficient panoramic scene representation
SparseOIT	arXiv'26	3D anisotropic	Order-independent transparency	Sparse order-independent transparency for correct See-through rendering of overlapping semi-transparent Gaussians
SCOUP	arXiv'26	Sparse code primitives	Language-conditioned	Sparse code language GS; language-conditioned sparse coding for controllable 3DGS generation
AV1-3DGS	arXiv'26	3D anisotropic	AV1 motion-vector SfM	AV1 codec motion vectors for dense SfM; 63% training time reduction; leverages video compression priors
RoSplat	arXiv'26	3D anisotropic (feed-forward)	Pixel-wise GS	Feed-forward pixel-wise GS for sparse-view NVS; requires alpha normalization for varying view counts
HarmoGS	arXiv'26	3D anisotropic	Harmonized optimization	Gradient harmonization for in-the-wild 3DGS; resolves cross-view gradient conflicts from transient distractors and illumination inconsistencies
GuardMarkGS	arXiv'26	3D anisotropic	Watermark + deterrence	First unified watermarking + edit deterrence framework for 3DGS assets; security for 3D content
FaceParts	arXiv'26	3D anisotropic (part-based)	Part-compositional	Part-based decomposable Gaussian avatar; modular facial region modeling for expressive avatars
RetroNVS	arXiv'26	3D anisotropic	Retro-reflection modeling	Retro-reflection modeling in 3DGS for accurate rendering of retro-reflective surfaces (signs, safety gear)
Velox	arXiv'26	3D anisotropic	Velocity-aware 4D	Velocity-aware 4DGS for fast dynamic scene reconstruction with motion-adaptive temporal modeling
3DGS²	arXiv'26	3D anisotropic (super-sampled)	Super-sampling + temporal	Second-generation 3DGS with super-sampling and temporal interpolation for large-scale scenes

Human & Avatar Methods

Method	Venue	Input	Key Feature
HumanSplatHMR	arXiv'26	Image	Joint pose-avatar optimization; closes loop between HMR and differentiable rendering
EmoTaG	CVPR'26 (2603.21332)	Image + audio	Emotion-aware talking head on GS
SDTalk	arXiv'26	Image + audio	Structured facial priors + dual-branch motion fields for Gaussian talking head
HairGPT	SIGGRAPH'26	Text/image	Strand-as-Language autoregressive modeling for 3D hairstyle synthesis
D-Rex	SIGGRAPH'26 (2604.27871)	White-light avatar + target illumination	Decoupled relighting via LoRA fine-tuned video diffusion post-process; applicable to any white-light avatar system

World Models & Spatial Intelligence

3DGS as world model primitive, differentiable simulation engine, or spatial intelligence representation

Key methods:

• GWM: 3DGS as environment dynamics modeling primitive with autoregressive future state prediction
• FlashWorld: Feed-forward 3DGS world model for real-time interactive 3D world generation
• GS-World: 3DGS as differentiable simulation engine for world model + Sim2Real VLA
• Visionary: WebGPU + 3DGS world model carrier platform for browser-native world model rendering
• RAD/DLWM: 3DGS twin digital world for autonomous driving RL training

Comparison key: Does the method use 3DGS as (a) state representation only, (b) dynamics modeling primitive, or (c) differentiable simulation engine? This determines the depth of world model integration.

Autonomous Driving Methods

Method	Venue	Input	Key Feature
Real2Sim	arXiv'26	3D anisotropic (4D)	4DGS + differentiable MPM
GaussianLSS	CVPR'25	Multi-camera	GS for BEV perception
Nighttime AD GS	ICRA'26 (2602.13549)	Nighttime multi-camera	PBR-based nighttime AD reconstruction
ConFixGS	arXiv'26 (2605.09688)	Multi-camera	Confidence-aware diffusion for feedforward 3DGS fix; +3.68 dB PSNR on Waymo

System & Infrastructure Methods

Method	Venue	Framework	Key Feature
VkSplat	Eurographics'26	Vulkan	Vulkan-based 3DGS training; 3.3x speed; cross-vendor
brush	Open-source	Rust/WebGPU/Burn	Cross-platform 3DGS training (Win/Mac/Linux/Android/Web); 4.3k stars; faster than gsplat

Training Acceleration / Optimization Methods

Method	Venue	Strategy	Key Feature
Structure-Aware Densification	SIGGRAPH'26	Frequency-aware anisotropic splitting	Frequency-aware anisotropic splitting; multiview consistency; faster convergence
GEMM-GS	DAC'26 (2604.02120)	Tensor Core GEMM	GPU acceleration via Tensor Cores; 1.42x speedup
Denoising-GS	arXiv'26 (2605.14880)	Spatial-aware denoising	Spatial-aware denoising formulation for 3DGS optimization; spatial gradient + uncertainty-based pruning
AdpSplit	arXiv'26 (2605.06876)	Error-driven adaptive split	Error-driven adaptive split operator; 9-22% training time reduction as drop-in replacement

Real-Time NVS Methods

Method	Venue	Cameras	FPS	Latency	Key Feature
3DTV	arXiv'26	3	40	25ms	Delaunay-based triplet selection, real-time multi-camera synthesis

Editing Methods

Method	Editing Type	Input	Quality
GaussianEditor	Text/geometry	Mask + prompt	High
GeoGaussian	Geometry	Mesh guidance	High
Frosting	Appearance	Text prompt	Medium
SketchFaceGS	Sketch-driven	2D sketch	High (CVPR'26 Highlight)
FluSplat	Text-driven	Sparse views	Medium-High
TransSplat	Language-driven	Multi-view + text	High
GOR-IS	Intrinsic-space removal	Image	High (+13% LPIPS)
SVGS	arXiv'26 (2603.28126)	Text-driven 3D editing	Single view + text prompt
VIRGi	TPAMI'26 (2603.02986)	Appearance editing	Image
RDSplat	arXiv'26 (2512.06774)	Watermarking	Watermarked GS
FreeFix	arXiv'26 (2601.20857)	Diffusion guidance	No fine-tuning

Output Format

Generate comparisons using this template:

## [Method A] vs [Method B] vs [Method C]

### Overview Table
| Dimension | Method A | Method B | Method C |
|-----------|----------|----------|----------|
| Primitive | ... | ... | ... |
| Opacity | ... | ... | ... |
| Rendering | ... | ... | ... |
| ... | ... | ... | ... |

### Detailed Analysis

#### Primitive Representation
[Paragraph comparing the fundamental representational differences]

#### Design Trade-offs
[Analysis of what each method gains and sacrifices]

#### Recommendation
- For novel view synthesis: [Best choice] because ...
- For surface reconstruction: [Best choice] because ...
- For real-time rendering: [Best choice] because ...

Rules

1. Be technically precise: Never oversimplify differences. If two methods differ in their opacity parameterization, explain exactly how.
2. Quote metrics when available: Use actual numbers from papers, not estimates.
3. Avoid bias: Present each method's strengths and weaknesses fairly.
4. Context matters: A method that's worse on PSNR might be better for real-time. Always mention the use case.
5. Flag uncertainty: If you don't have reliable data for a comparison dimension, say so explicitly.

If you like it, please star this repo https://github.com/jaccen/Awesome-Gaussian-Skills