wanmeihuali / taichi_3d_gaussian_splatting

An unofficial implementation of paper 3D Gaussian Splatting for Real-Time Radiance Field Rendering by taichi lang.
Apache License 2.0
670 stars 62 forks source link

Try add depth cov loss to alpha #143

Open wanmeihuali opened 1 year ago

github-actions[bot] commented 1 year ago

Running experiment on sagemaker with git sha 066021aa123644daa3062c60638f9f8b2beaad53

github-actions[bot] commented 1 year ago

Training job depth-cov-alpha-066021a-231010-043747-tat-truck-baseline created

github-actions[bot] commented 1 year ago

Running experiment on sagemaker with git sha 066021aa123644daa3062c60638f9f8b2beaad53

github-actions[bot] commented 1 year ago

Training job depth-cov-alpha-066021a-231010-043832-tat-train-baseline created

github-actions[bot] commented 1 year ago

Training job depth-cov-alpha-066021a-231010-043747-tat-truck-baseline completed.

Model url: s3://taichi-3d-gaussian-splatting-log/tat-truck-baseline/depth-cov-alpha-066021a-231010-043747-tat-truck-baseline/output/model.tar.gz,

tensorboard output path: s3://taichi-3d-gaussian-splatting-log/tat-truck-baseline/depth-cov-alpha-066021a-231010-043747-tat-truck-baseline/output/output.tar.gz

github-actions[bot] commented 1 year ago

Training job depth-cov-alpha-066021a-231010-043747-tat-truck-baseline final metrics:

Latest Metrics

train:iteration train:l1loss train:loss train:num_valid_points train:psnr train:ssim train:ssimloss val:loss val:psnr val:ssim
30000.0 0.16899815201759338 0.22982710599899292 1460290.0 13.249738693237305 0.5268570780754089 0.47314292192459106 0.2583858370780945 12.574592590332031 0.4547976851463318

Max Metrics

train:5kpsnr train:5kssim train:7kpsnr train:7kssim train:psnr train:ssim val:5kpsnr val:5kssim val:7kpsnr val:7kssim val:psnr val:ssim
13.387032508850098 0.4607965350151062 12.851665496826172 0.501745879650116 13.249738693237305 0.5268570780754089 13.144658088684082 0.461590051651001 13.1847562789917 0.4601612985134125 12.574592590332031 0.4547976851463318
github-actions[bot] commented 1 year ago

Training job depth-cov-alpha-066021a-231010-043832-tat-train-baseline completed.

Model url: s3://taichi-3d-gaussian-splatting-log/tat-train-baseline/depth-cov-alpha-066021a-231010-043832-tat-train-baseline/output/model.tar.gz,

tensorboard output path: s3://taichi-3d-gaussian-splatting-log/tat-train-baseline/depth-cov-alpha-066021a-231010-043832-tat-train-baseline/output/output.tar.gz

github-actions[bot] commented 1 year ago

Training job depth-cov-alpha-066021a-231010-043832-tat-train-baseline final metrics:

Latest Metrics

train:iteration train:l1loss train:loss train:num_valid_points train:psnr train:ssim train:ssimloss val:loss val:psnr val:ssim
30000.0 0.22788961231708527 0.28201058506965637 1926860.0 10.292320251464844 0.5015056133270264 0.49849438667297363 0.2991228401660919 11.33243179321289 0.40195339918136597

Max Metrics

train:5kpsnr train:5kssim train:7kpsnr train:7kssim train:psnr train:ssim val:5kpsnr val:5kssim val:7kpsnr val:7kssim val:psnr val:ssim
11.000405311584473 0.40921854972839355 13.565939903259277 0.49352020025253296 10.292320251464844 0.5015056133270264 12.242801666259766 0.4126058518886566 12.171857833862305 0.4141305387020111 11.33243179321289 0.40195339918136597
github-actions[bot] commented 1 year ago

Running experiment on sagemaker with git sha ef2a620359d70ff4ffbfcb8c50fa1218d6a43863

github-actions[bot] commented 1 year ago

Training job depth-cov-alpha-ef2a620-231010-070706-tat-truck-baseline created

github-actions[bot] commented 1 year ago

Running experiment on sagemaker with git sha ef2a620359d70ff4ffbfcb8c50fa1218d6a43863

github-actions[bot] commented 1 year ago

Training job depth-cov-alpha-ef2a620-231010-070800-tat-train-baseline created

github-actions[bot] commented 1 year ago

Training job depth-cov-alpha-ef2a620-231010-070706-tat-truck-baseline completed.

Model url: s3://taichi-3d-gaussian-splatting-log/tat-truck-baseline/depth-cov-alpha-ef2a620-231010-070706-tat-truck-baseline/output/model.tar.gz,

tensorboard output path: s3://taichi-3d-gaussian-splatting-log/tat-truck-baseline/depth-cov-alpha-ef2a620-231010-070706-tat-truck-baseline/output/output.tar.gz

github-actions[bot] commented 1 year ago

Training job depth-cov-alpha-ef2a620-231010-070706-tat-truck-baseline final metrics:

Latest Metrics

train:iteration train:l1loss train:loss train:num_valid_points train:psnr train:ssim train:ssimloss val:loss val:psnr val:ssim
30000.0 0.18834741413593292 0.2695528268814087 523669.0 12.855175971984863 0.40562543272972107 0.5943745374679565 0.2713155746459961 11.975367546081543 0.4527238607406616

Max Metrics

train:5kpsnr train:5kssim train:7kpsnr train:7kssim train:psnr train:ssim val:5kpsnr val:5kssim val:7kpsnr val:7kssim val:psnr val:ssim
11.305298805236816 0.40053802728652954 11.623887062072754 0.4389086961746216 12.855175971984863 0.40562543272972107 12.24751091003418 0.4557172656059265 11.689866065979004 0.4469371736049652 11.975367546081543 0.4527238607406616
github-actions[bot] commented 1 year ago

Training job depth-cov-alpha-ef2a620-231010-070800-tat-train-baseline completed.

Model url: s3://taichi-3d-gaussian-splatting-log/tat-train-baseline/depth-cov-alpha-ef2a620-231010-070800-tat-train-baseline/output/model.tar.gz,

tensorboard output path: s3://taichi-3d-gaussian-splatting-log/tat-train-baseline/depth-cov-alpha-ef2a620-231010-070800-tat-train-baseline/output/output.tar.gz

github-actions[bot] commented 1 year ago

Training job depth-cov-alpha-ef2a620-231010-070800-tat-train-baseline final metrics:

Latest Metrics

train:iteration train:l1loss train:loss train:num_valid_points train:psnr train:ssim train:ssimloss val:loss val:psnr val:ssim
30000.0 0.18673770129680634 0.23802334070205688 754624.0 12.492565155029297 0.5568341016769409 0.4431658983230591 0.3074747920036316 10.969109535217285 0.39942070841789246

Max Metrics

train:5kpsnr train:5kssim train:7kpsnr train:7kssim train:psnr train:ssim val:5kpsnr val:5kssim val:7kpsnr val:7kssim val:psnr val:ssim
10.823578834533691 0.3788817822933197 10.171375274658203 0.42297717928886414 12.492565155029297 0.5568341016769409 11.443517684936523 0.41093453764915466 11.217612266540527 0.4085210859775543 10.969109535217285 0.39942070841789246