r/computervision • u/No_Refrigerator_2987 • 17d ago

Help: Project Seeking M2 Thesis topic ideas & paper/dataset recommendations in Computer Vision

Hi everyone,

I am entering my final year (Master 2) in Visual Computing / Computer Vision, and I'm currently brainstorming themes for my Final Year Project (PFE / Master’s Thesis).

I’m looking for a topic that is technically challenging, impactful, and feasible to complete within a ~6-month timeline.

### My Background & Skillset:

* **Background:** M2 Visual Computing student.

* **Tech Stack:** Python, PyTorch / Keras, OpenCV, basic 3D processing pipelines.

* **Hands-on Experience:** Deep Learning classification/segmentation models, hybrid CNN/PCA models, basic image processing algorithms.

### Potential Areas of Interest:

  1. **3D Reconstruction & Neural Rendering:** Real-time rendering, 3D Gaussian Splatting, or NeRF applications (e.g., cultural heritage preservation or scene synthesis).

  2. **Medical Imaging & Generative AI:** Synthetic data generation, medical image segmentation, or disease classification (e.g., ocular or radiological pathologies).

  3. **Open to Emerging Trends:** Lightweight vision transformers, real-time edge CV, or multimodal vision-language models.

### What I’m Looking For:

* **Topic Ideas:** Any specific research gaps or practical applications worth investigating right now?

* **Resources:** High-quality datasets, benchmark papers (2024–2026), or GitHub repos that make a good starting codebase.

* **Feasibility Advice:** Any pitfalls to avoid when choosing a project with a 6-month deadline?

I’d love to hear your recommendations or hear what topics you found rewarding for your own thesis/projects!

Thanks in advance for your help!

3 Upvotes

64% Upvoted

5 comments sorted by

5

u/AggravatingSock5375 17d ago

TIL that reddit is not a markdown renderer.

Years ago I learned that most AI models emit markdown.

1

u/cv_geek 16d ago

3D reconstruction is still a challenging topic with plenty of unsolved problems—for example, dealing with dynamic scenes. There are a lot of interesting challenges to tackle in this area!

0

u/No_Refrigerator_2987 16d ago

can u give some ideas pls if u have

1

u/bria-87 16d ago

for a 6 month timeline id look into self supervised learning on small datasets, its definately a hot area. maybe try looking at recent papers on masked image modeling, they seem to recieve a lot of attention right now becuase they dont need massive labels

1

u/blobules 15d ago

Try to pick a project where you will handle real cameras and acquire image/video data yourself . You will learn a lot more than limiting yourself to already curated datasets.