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SotA/Computer Vision/Novel View Synthesis

Novel View Synthesis

59 benchmarks1441 papers

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.

<span style="color:grey; opacity: 0.6">( Image credit: Multi-view to Novel view: Synthesizing novel views with Self-Learned Confidence )</span>

Benchmarks

Novel View Synthesis on LLFF

PSNRSSIMLPIPS

Novel View Synthesis on Mip-NeRF 360

LPIPSPSNRSSIMSize (MB)

Novel View Synthesis on NeRF

PSNRSSIMLPIPSAverage PSNRSize (MB)

Novel View Synthesis on Tanks and Temples

PSNRSSIMLPIPSSize (MB)

Novel View Synthesis on RefRef

Average PSNR (dB)

Novel View Synthesis on DONeRF: Evaluation Dataset

PSNR

Novel View Synthesis on X3D

PSNRSSIM

Novel View Synthesis on RTMV

PSNRSSIM

Novel View Synthesis on ScanNet++

PSNRSSIMLPIPS

Novel View Synthesis on SWORD

LPIPSPSNRSSIM

Novel View Synthesis on HDR-GS

Average PSNRSSIMLPIPS

Novel View Synthesis on iFF

Average PSNRSSIMFocal Error

Novel View Synthesis on .

PSNR

Novel View Synthesis on ACID

FIDNLLPSIMPSNRSSIM

Novel View Synthesis on Deep Blending

LPIPSPSNRSSIMSize (MB)

Novel View Synthesis on Dosovitskiy Chairs

LPIPSPSNR

Novel View Synthesis on KITTI

Average PSNR

Novel View Synthesis on KITTI Novel View Synthesis

SSIM

Novel View Synthesis on PhotoShape

LPIPSPSNR

Novel View Synthesis on RealEstate10K

FIDNLLPSIMPSNRSSIM

Novel View Synthesis on ShapeNet Car

SSIM

Novel View Synthesis on ShapeNet Chair

SSIM

Novel View Synthesis on Synthia Novel View Synthesis

SSIM

Novel View Synthesis on BLEFF

PSNR/SSIM