Seasons Of Code

3D Object Reconstruction from Single Image    • Arka Sadhu   

3D Object Reconstruction from Single Image

3D Object Reconstruction from Single Image

The project will be a implementation of the paper A Point Set Generation Network for 3D Object Reconstruction from a Single Image

The code is available at: Since the code is done using Tensorflow, this will try to replicate the results using Pytorch. A bonus part of the project would be to try to remove a major constraint imposed by the author.

Hard prerequisite: Prior experience in Python coding. Everything else can be learned on the fly if the student is motivated enough. A course in Probability Theory is also very much recommended.
Soft Pre-requisite: Prior experience in Pytorch or any other deep learning library (can be learnt on the go if mentee is motivated). Basic 3D vision concepts.

Rough Timeline:

Week Work
Week 1-2 : Cover up existing pre-requisites, thorough reading of the paper, and a discussion among the group and me. Getting a template project running.
Week 3-4 : Code parts of the algorithm and check each part individually if they are training.
Week 5-7 : Hyperparameter tuning and debugging the models. This is expected to take the major chunk of time. The bonus part will be done only if this part is completed within 1.5 weeks.
Week 8 : Documenting everything that has been done properly (note documentation will be an ongoing process, this will just be wrapping up everything).

Expected amount of hours mentees need to spend: In short depends. Coding in a new library can often be daunting and it may require more than one nightouts. Average 10-15 hours in a week, might be higher in some particular cases.

Resources required: Google GPUs will be used for this purpose. Google gives $300 credits for first time users.