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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–10 of 1441 papers

TitleStatusHype
Physically Based Neural LiDAR ResimulationCode0
Cameras as Relative Positional Encoding—0
MoVieS: Motion-Aware 4D Dynamic View Synthesis in One Second—0
LighthouseGS: Indoor Structure-aware 3D Gaussian Splatting for Panorama-Style Mobile Captures—0
Reflections Unlock: Geometry-Aware Reflection Disentanglement in 3D Gaussian Splatting for Photorealistic Scenes Rendering—0
Outdoor Monocular SLAM with Global Scale-Consistent 3D Gaussian Pointmaps—0
Refine Any Object in Any SceneCode1
VoteSplat: Hough Voting Gaussian Splatting for 3D Scene Understanding—0
UnMix-NeRF: Spectral Unmixing Meets Neural Radiance FieldsCode1
DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting—0
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All datasetsLLFFMip-NeRF 360NeRFTanks and TemplesRefRefDONeRF: Evaluation DatasetX3DRTMVScanNetACIDSWORDHDR-GS

Benchmark Results

#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
103DGEERLPIPS0.21—Unverified