https://drive.google.com/file/d/177gq0HyPMX5qBCGiX3VMURhziZ0GAJFP/view?usp=sharing
https://drive.google.com/file/d/1J28Y-mxXk8i5E9HhaplPZKQkSwkhN4qu/view?usp=drive_link
https://drive.google.com/file/d/1ltsq_9Ri469USjnBw5opx6TbHEOmlDeD/view?usp=sharing
https://drive.google.com/file/d/1h33vSN7GYtXxzBZ1CLDf0-YuNkqcSjWk/view?usp=sharing
https://drive.google.com/file/d/1DqhDCL6DswitASSbG1KIPAgEGIU2LqUW/view?usp=sharing
https://drive.google.com/file/d/1vp0NTCzieo5Lzrpdz5LEwTN2Awl84QVi/view?usp=sharing
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
https://drive.google.com/file/d/1EoyGrwSLRJECsmUyEd3rhsog5ANs1uGK/view?usp=drive_link
https://drive.google.com/file/d/1UbxR3GOjFkGBz4lmioB5B7xeC_8qiweI/view?usp=drive_link
https://drive.google.com/file/d/1vtAheuQ_iOmOi7uX0aR76Ge3lYApfCbQ/view?usp=sharing
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
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
https://drive.google.com/file/d/1LKPbh0ZxWrzt2fgGq5xURzwVWgrVdVeS/view?usp=drive_link
https://drive.google.com/file/d/1cG7L0fI8KEgUHvixH7AfiFguqSopG9lG/view?usp=drive_link
https://drive.google.com/file/d/1ytsvpKLIwV1tlmiaARKFr7ilmx5aDHYR/view?usp=sharing
https://drive.google.com/file/d/1WL7-rR662ktqyGrrSFzaEqPIHjwTrb6b/view?usp=sharing
-- Nerf without parameters
-- Neuralangelo (its individual componets have been worked upon)
-- Improving point cloud representing with Zero: 1-2-3
2D Experiments 3D Experiments (Gaussian Splatting) 3D Experiments (DreamGaussian)