Introduction of Gaussian Function into Rendering

1. Gaussian Splatting

1.1. Real time training and rendering

https://drive.google.com/file/d/177gq0HyPMX5qBCGiX3VMURhziZ0GAJFP/view?usp=sharing

1.2. Approximating Image with 2D Gaussian

https://drive.google.com/file/d/1J28Y-mxXk8i5E9HhaplPZKQkSwkhN4qu/view?usp=drive_link

1.3. Comparison of Splat Numbering

1.3.1. 100 Splats

https://drive.google.com/file/d/1ltsq_9Ri469USjnBw5opx6TbHEOmlDeD/view?usp=sharing

1.3.2. 500 Splats

https://drive.google.com/file/d/1h33vSN7GYtXxzBZ1CLDf0-YuNkqcSjWk/view?usp=sharing

1.4. Approximating Image with 3D Gaussian

https://drive.google.com/file/d/1DqhDCL6DswitASSbG1KIPAgEGIU2LqUW/view?usp=sharing

1.5. Approximating 3D Point Cloud with 3D Gaussians

1.5.1. Epochs: 1000, Points: 50000 , Splats: 200

https://drive.google.com/file/d/1vp0NTCzieo5Lzrpdz5LEwTN2Awl84QVi/view?usp=sharing

1.5.2. Epochs: 1000, Points: 50000, Splats: 500

https://drive.google.com/file/d/1YO2t6D0MmVpA04h4do4FzLXZQKWmOPki/view?usp=sharing

1.6. Approximating 3D Point Cloud with 3D Gaussians and then Projecting Points and Gaussians to 2D plane

1.6.1. Reference Rendering

https://drive.google.com/file/d/1EoyGrwSLRJECsmUyEd3rhsog5ANs1uGK/view?usp=drive_link

1.6.2. Gaussian based Rendering

https://drive.google.com/file/d/1UbxR3GOjFkGBz4lmioB5B7xeC_8qiweI/view?usp=drive_link

1.7. Effect of Hyperparameters

https://drive.google.com/file/d/1vtAheuQ_iOmOi7uX0aR76Ge3lYApfCbQ/view?usp=sharing

1.8. Comparison of Output

1.8.1. Lego Bulldozer: Train vs Test

Training performance: https://drive.google.com/file/d/15bbiPrhZRFZPjEjRU7S9Ikkxx2UBTzyO/view?usp=sharing

Test Performance: https://drive.google.com/file/d/1QtYhsZzvg10HwDZLKvKwvJr6k1fUXXVn/view?usp=drive_link

1.8.2. Train: Train vs Test

Training performance: https://drive.google.com/file/d/1TisU1tV9IhhbO3ME9ovoQTc4ZBAWrHND/view?usp=drive_link

Test performance: https://drive.google.com/file/d/1V1n6BteJ2oFTiEqFfM23wz_luNuqjBGh/view?usp=drive_link

2. DreamGaussian

2.1. Mapping Camera Pose to RGB Image as Backbone of Gaussian Splatting

https://drive.google.com/file/d/1LKPbh0ZxWrzt2fgGq5xURzwVWgrVdVeS/view?usp=drive_link

https://drive.google.com/file/d/1cG7L0fI8KEgUHvixH7AfiFguqSopG9lG/view?usp=drive_link

2.2. Comparison of Stage-1 and Stage-2 Output

https://drive.google.com/file/d/1ytsvpKLIwV1tlmiaARKFr7ilmx5aDHYR/view?usp=sharing

https://drive.google.com/file/d/1WL7-rR662ktqyGrrSFzaEqPIHjwTrb6b/view?usp=sharing

3. Future Works

-- Nerf without parameters

-- Neuralangelo (its individual componets have been worked upon)

-- Improving point cloud representing with Zero: 1-2-3

4. Reference Code

2D Experiments 3D Experiments