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Visar resultat 1 - 5 av 102 uppsatser som matchar ovanstående sökkriterier.

1. 1. Using NeRF- and Mesh-Based Methods to Improve Visualisation of Point Clouds

   Master-uppsats, Lunds universitet/Matematik LTH

   Författare :Vilma Ylvén; Oscar Montelin; [2024]
   Nyckelord :Technology and Engineering; Mathematics and Statistics;

   Sammanfattning : In recent years, the field of generating synthetic images from novel view points has seen some major improvements. Most importantly with the publication of Neural Radiance Fields allowing for extremely detailed and accurate 3D novel views. LÄS MER

3. 2. Using Synthetic Data For Object Detection on the edge in Hazardous Environments

   Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknik

   Författare :Faraz Azarnoush; Damil Sabotic; [2024]
   Nyckelord :Technology and Engineering;

   Sammanfattning : This thesis aims to evaluate which aspects are important when generating synthetic data with the purpose of running on a lightweight object detection model on an edge device. The task we constructed was to detect Canisters and whether they feature a protective valve called a Cap or not (called a No-Cap). LÄS MER

4. 3. Variational AutoEncoders and Differential Privacy : balancing data synthesis and privacy constraints

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Baptiste Bremond; [2024]
   Nyckelord :TVAE; Differential privacy; Tabular data; Synthetic data; DP-SGD; TVAE; differentiell integritet; tabelldata; syntetiska data; DP-SGD;

   Sammanfattning : This thesis investigates the effectiveness of Tabular Variational Auto Encoders (TVAEs) in generating high-quality synthetic tabular data and assesses their compliance with differential privacy principles. The study shows that while TVAEs are better than VAEs at generating synthetic data that faithfully reproduces the distribution of real data as measured by the Synthetic Data Vault (SDV) metrics, the latter does not guarantee that the synthetic data is up to the task in practical industrial applications. LÄS MER

5. 4. Transforming Chess: Investigating Decoder-Only Architecture for Generating Realistic Game-Like Positions

   Master-uppsats, Umeå universitet/Institutionen för datavetenskap

   Författare :William Pettersson; [2024]
   Nyckelord :Transformer; Decoder; Decoder-only; AI; Artificial intelligence; Generating; generative model; Chess;

   Sammanfattning : Chess is a deep and intricate game, the master of which depends on learning tens of thousands of the patterns that may occur on the board. At Noctie, their mission is to aid this learning process through humanlike chess AI. A prominent challenge lies in curating instructive chess positions for students. LÄS MER

7. 5. AI-based image generation: The impact of fine-tuning on fake image detection

   Kandidat-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

   Författare :Nick Hagström; Anders Rydberg; [2024]
   Nyckelord :Fake image detection; LoRA; DreamBooth; Stable Diffusion; Image generation;

   Sammanfattning : Machine learning-based image generation models such as Stable Diffusion are now capable of generating synthetic images that are difficult to distinguish from real images, which gives rise to a number of legal and ethical concerns. As a potential measure of mitigation, it is possible to train neural networks to detect the digital artifacts present in the images synthesized by many generative models. LÄS MER