SOTAVerified

Novel View Synthesis

Synthesize a target image with an arbitrary target camera pose from given source images and their camera poses.

See Wiki for more introductions.

The Synthesis method include: NeRF, MPI and so on.

( Image credit: Multi-view to Novel view: Synthesizing novel views with Self-Learned Confidence )

Papers

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Showing 1–50 of 1441 papers

TitleStatusHype
VGGT: Visual Geometry Grounded TransformerCode11
3DGUT: Enabling Distorted Cameras and Secondary Rays in Gaussian SplattingCode7
2D Gaussian Splatting for Geometrically Accurate Radiance FieldsCode7
3D Gaussian Splatting for Real-Time Radiance Field RenderingCode6
Nerfstudio: A Modular Framework for Neural Radiance Field DevelopmentCode6
Instant Neural Graphics Primitives with a Multiresolution Hash EncodingCode6
GEN3C: 3D-Informed World-Consistent Video Generation with Precise Camera ControlCode5
CityGaussianV2: Efficient and Geometrically Accurate Reconstruction for Large-Scale ScenesCode5
DepthSplat: Connecting Gaussian Splatting and DepthCode5
ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View SynthesisCode5
Gaussian Opacity Fields: Efficient Adaptive Surface Reconstruction in Unbounded ScenesCode5
CityGaussian: Real-time High-quality Large-Scale Scene Rendering with GaussiansCode5
InstantSplat: Sparse-view SfM-free Gaussian Splatting in SecondsCode5
GauStudio: A Modular Framework for 3D Gaussian Splatting and BeyondCode5
MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View ImagesCode5
Structure-Aware Sparse-View X-ray 3D ReconstructionCode5
MV-DUSt3R+: Single-Stage Scene Reconstruction from Sparse Views In 2 SecondsCode4
Sparse Voxels Rasterization: Real-time High-fidelity Radiance Field RenderingCode4
AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using SmartphonesCode4
No Pose, No Problem: Surprisingly Simple 3D Gaussian Splats from Sparse Unposed ImagesCode4
RaDe-GS: Rasterizing Depth in Gaussian SplattingCode4
MVSGaussian: Fast Generalizable Gaussian Splatting Reconstruction from Multi-View StereoCode4
FlowMap: High-Quality Camera Poses, Intrinsics, and Depth via Gradient DescentCode4
DN-Splatter: Depth and Normal Priors for Gaussian Splatting and MeshingCode4
V3D: Video Diffusion Models are Effective 3D GeneratorsCode4
Radiative Gaussian Splatting for Efficient X-ray Novel View SynthesisCode4
GPAvatar: Generalizable and Precise Head Avatar from Image(s)Code4
TRIPS: Trilinear Point Splatting for Real-Time Radiance Field RenderingCode4
FoundationPose: Unified 6D Pose Estimation and Tracking of Novel ObjectsCode4
Gaussian Splatting SLAMCode4
SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAMCode4
Dynamic 3D Gaussians: Tracking by Persistent Dynamic View SynthesisCode4
Zero-1-to-3: Zero-shot One Image to 3D ObjectCode4
TensoRF: Tensorial Radiance FieldsCode4
Deformable Beta SplattingCode3
HAC++: Towards 100X Compression of 3D Gaussian SplattingCode3
EnvGS: Modeling View-Dependent Appearance with Environment GaussianCode3
PanSplat: 4K Panorama Synthesis with Feed-Forward Gaussian SplattingCode3
HUGSIM: A Real-Time, Photo-Realistic and Closed-Loop Simulator for Autonomous DrivingCode3
Differentiable Voxel-based X-ray Rendering Improves Sparse-View 3D CBCT ReconstructionCode3
MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAMCode3
3D Convex Splatting: Radiance Field Rendering with 3D Smooth ConvexesCode3
SplatFormer: Point Transformer for Robust 3D Gaussian SplattingCode3
MVSplat360: Feed-Forward 360 Scene Synthesis from Sparse ViewsCode3
PF3plat: Pose-Free Feed-Forward 3D Gaussian SplattingCode3
Fast Feedforward 3D Gaussian Splatting CompressionCode3
MVGS: Multi-view-regulated Gaussian Splatting for Novel View SynthesisCode3
Hi3D: Pursuing High-Resolution Image-to-3D Generation with Video Diffusion ModelsCode3
LaRa: Efficient Large-Baseline Radiance FieldsCode3
Taming 3DGS: High-Quality Radiance Fields with Limited ResourcesCode3
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All datasetsLLFFMip-NeRF 360NeRFTanks and TemplesRefRefDONeRF: Evaluation DatasetX3DRTMVScanNetACIDSWORDHDR-GS

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TensoRF + NeRFLiXPSNR27.39—Unverified
2JAXNeRFPSNR26.92—Unverified
3K-Planes (hybrid)PSNR26.92—Unverified
4Plenoxels + NeRFLiXPSNR26.9—Unverified
5K-Planes (explicit)PSNR26.78—Unverified
6TensoRFPSNR26.73—Unverified
7NeRFPSNR26.5—Unverified
8PlenoxelsPSNR26.29—Unverified
9HyperReelPSNR26.2—Unverified
10MobileNeRFPSNR25.91—Unverified
#ModelMetricClaimedVerifiedStatus
1NeRFLPIPS0.52—Unverified
2MobileNeRFLPIPS0.47—Unverified
3NeRF++LPIPS0.43—Unverified
4C3DGSLPIPS0.25—Unverified
5Compressed 3D Gaussian SplattingLPIPS0.24—Unverified
6HAC 3DGSLPIPS0.23—Unverified
7Compact3DLPIPS0.23—Unverified
8Self-Organizing GaussiansLPIPS0.22—Unverified
93D Gaussian SplattingLPIPS0.21—Unverified
10LightGaussianLPIPS0.21—Unverified
#ModelMetricClaimedVerifiedStatus
1Deformable Beta SplattingPSNR34.66—Unverified
2Self-Organizing GaussiansPSNR33.7—Unverified
3I-NGPPSNR33.18—Unverified
4TensoRFPSNR33.14—Unverified
5K-Planes (hybrid)PSNR32.36—Unverified
6K-Planes (explicit)PSNR32.21—Unverified
7PlenoxelsPSNR31.71—Unverified
8JAXNeRFPSNR31.65—Unverified
9NeRFPSNR31—Unverified
10MobileNeRFPSNR30.9—Unverified
#ModelMetricClaimedVerifiedStatus
1TensoRF + NeRFLiX++PSNR29.24—Unverified
2TensoRF + NeRFLiXPSNR28.94—Unverified
3Plenoxels + NeRFLiXPSNR28.61—Unverified
4Self-Organizing GaussiansPSNR25.63—Unverified
5HAC 3DGSPSNR24.4—Unverified
6Compact3DPSNR23.47—Unverified
73D Gaussian SplattingPSNR23.14—Unverified
8Mip-NERF 360PSNR19.65—Unverified
9DIVeR + NeRFLiXSSIM0.92—Unverified
10C3DGSPSNR0.23—Unverified
#ModelMetricClaimedVerifiedStatus
1R3F-OracleAverage PSNR (dB)29.34—Unverified
2Zip-NeRFAverage PSNR (dB)26.11—Unverified
3R3FAverage PSNR (dB)24.95—Unverified
4Ray Deformation NetworkAverage PSNR (dB)23.13—Unverified
5Rose-NeRFAverage PSNR (dB)22.86—Unverified
6NeuSAverage PSNR (dB)19.62—Unverified
7SplatfactoAverage PSNR (dB)19.53—Unverified
8TNSRAverage PSNR (dB)18.64—Unverified
#ModelMetricClaimedVerifiedStatus
1HyperReelPSNR35.1—Unverified
2Instant NGPPSNR33.1—Unverified
3AdaNeRFPSNR30.9—Unverified
4NeRFPSNR30.9—Unverified
5DoNeRFPSNR30.8—Unverified
6TermiNeRFPSNR29.8—Unverified
#ModelMetricClaimedVerifiedStatus
1SAX-NeRFPSNR51.37—Unverified
2NAFPSNR38.81—Unverified
3TensoRFPSNR37.67—Unverified
4NeATPSNR36.01—Unverified
5NeRFPSNR32.49—Unverified
6InTomoPSNR31.96—Unverified
#ModelMetricClaimedVerifiedStatus
1Pixel-NeRF (env: Google Scan)PSNR14.59—Unverified
2Pixel-NeRF (env: Bricks)PSNR12.15—Unverified
3Pixel-NeRF (env: ABC)PSNR12.15—Unverified
4Pixel-NeRF (env: Amz. Ber.)PSNR12.13—Unverified
#ModelMetricClaimedVerifiedStatus
13DGEERPSNR31.5—Unverified
23DGUTPSNR30.64—Unverified
3EVERPSNR29.47—Unverified
4FisheyeGSPSNR27.81—Unverified
#ModelMetricClaimedVerifiedStatus
1impl.-nodepthFID42.88—Unverified
2hybridNLL5.34—Unverified
3impl.-catdepthSSIM0.42—Unverified
#ModelMetricClaimedVerifiedStatus
1StereoLayers (8 layers)LPIPS0.11—Unverified
2StereoLayers (2 layers)LPIPS0.1—Unverified
3StereoLayersLPIPS0.1—Unverified
#ModelMetricClaimedVerifiedStatus
1HDR-GSAverage PSNR38.37—Unverified
2HDR-NeRFAverage PSNR36.4—Unverified
#ModelMetricClaimedVerifiedStatus
1NeRFtrinsic FourAverage PSNR27.15—Unverified
2NeRF--Average PSNR23.92—Unverified
#ModelMetricClaimedVerifiedStatus
1HybridFID48.84—Unverified
2Impl.-depthNLL4.84—Unverified
#ModelMetricClaimedVerifiedStatus
1Gear-NeRFPSNR32.21—Unverified
#ModelMetricClaimedVerifiedStatus
1Self-Organizing GaussiansLPIPS0.26—Unverified
#ModelMetricClaimedVerifiedStatus
1Single NeRF + Share./Inst. NetLPIPS0.14—Unverified
#ModelMetricClaimedVerifiedStatus
1READAverage PSNR23.28—Unverified
#ModelMetricClaimedVerifiedStatus
1Multi-view to Novel ViewSSIM0.63—Unverified
#ModelMetricClaimedVerifiedStatus
1Single NeRF + Share./Inst. NetLPIPS0.02—Unverified
#ModelMetricClaimedVerifiedStatus
1Multi-view to Novel ViewSSIM0.92—Unverified
#ModelMetricClaimedVerifiedStatus
1Multi-view to Novel ViewSSIM0.9—Unverified
#ModelMetricClaimedVerifiedStatus
1Multi-view to Novel ViewSSIM0.7—Unverified