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Titan-Apex v9.4 is analyzing data for 'generative'...
icon http://arxiv.org/abs/2509.20353v2

Developer Productivity With and Without GitHub Copilot: A Longitu...

This study investigates the real-world impact of the generative AI (GenAI) tool GitHub Copilot on developer activity and perceived productivity. We conducted a mixed-methods case study in NAV IT, a la...
icon http://arxiv.org/abs/2304.09948v1

Catch Me If You Can: Identifying Fraudulent Physician Reviews wit...

The proliferation of fake reviews of doctors has potentially detrimental consequences for patient well-being and has prompted concern among consumer protection groups and regulatory bodies. Yet despit...
icon http://arxiv.org/abs/2001.11715v1

A Generative Adversarial Network for AI-Aided Chair Design

We present a method for improving human design of chairs. The goal of the method is generating enormous chair candidates in order to facilitate human designer by creating sketches and 3d models accord...
icon https://github.com/mattragoza/LiGAN

mattragoza/LiGAN

Deep generative models of 3D grids for structure-based drug discovery (⭐ 235)
icon https://github.com/tamarott/SinGAN

tamarott/SinGAN

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image" (⭐ 3347)
icon http://arxiv.org/abs/2505.10950v1

Shackled Dancing: A Bit-Locked Diffusion Algorithm for Lossless a...

Data steganography aims to conceal information within visual content, yet existing spatial- and frequency-domain approaches suffer from trade-offs between security, capacity, and perceptual quality. R...
icon http://arxiv.org/abs/2104.07595v2

Towards A Process Model for Co-Creating AI Experiences

Thinking of technology as a design material is appealing. It encourages designers to explore the material's properties to understand its capabilities and limitations, a prerequisite to generative desi...
icon https://www.bing.com/ck/a?!&&p=4bcf9dcad87971983f831e6f1a988b3aca0e1eadac66f6475bed95f1bb361493JmltdHM9MTc3MjY2ODgwMA&ptn=3&ver=2&hsh=4&fclid=3f157f31-b623-6e37-0baf-6822b7d86fa0&u=a1aHR0cHM6Ly93d3cubWVycmlhbS13ZWJzdGVyLmNvbS9kaWN0aW9uYXJ5L2dlbmVyYXRpdmU&ntb=1

GENERATIVE Definition & Meaning - Merriam-Webster

The meaning of GENERATIVE is having the power or function of generating, originating, producing, or reproducing. How to use generative in a sentence.
icon https://www.bing.com/ck/a?!&&p=267caf64ba1c852036d6ae66c49ef866342a0f164815d58bdbdc7aafafa18c2aJmltdHM9MTc3MjY2ODgwMA&ptn=3&ver=2&hsh=4&fclid=3f157f31-b623-6e37-0baf-6822b7d86fa0&u=a1aHR0cHM6Ly93d3cuY291cnNlcmEub3JnL2FydGljbGVzL3doYXQtaXMtZ2VuZXJhdGl2ZS1haT9tc29ja2lkPTNmMTU3ZjMxYjYyMzZlMzcwYmFmNjgyMmI3ZDg2ZmEw&ntb=1

What Is Generative AI? How It Works, Examples, Benefits, and ...

Aug 15, 2025 · Generative AI, commonly called GenAI, allows users to input a variety of prompts to generate new content, such as text, images, videos, sounds, code, 3D designs, and other media.
icon http://arxiv.org/abs/2509.17550v3

Is It Certainly a Deepfake? Reliability Analysis in Detection & G...

As generative models are advancing in quality and quantity for creating synthetic content, deepfakes begin to cause online mistrust. Deepfake detectors are proposed to counter this effect, however, mi...
icon http://arxiv.org/abs/2307.11918v1

Bibliometric Analysis of Publisher and Journal Instructions to Au...

We aim to determine the extent and content of guidance for authors regarding the use of generative-AI (GAI), Generative Pretrained models (GPTs) and Large Language Models (LLMs) powered tools among th...
icon http://arxiv.org/abs/2410.23803v1

Generative AI for Accessible and Inclusive Extended Reality

Artificial Intelligence-Generated Content (AIGC) has the potential to transform how people build and interact with virtual environments. Within this paper, we discuss potential benefits but also chall...
icon http://arxiv.org/abs/2402.15391v1

Genie: Generative Interactive Environments

We introduce Genie, the first generative interactive environment trained in an unsupervised manner from unlabelled Internet videos. The model can be prompted to generate an endless variety of action-c...
icon http://arxiv.org/abs/2112.08340v3

GenIE: Generative Information Extraction

Structured and grounded representation of text is typically formalized by closed information extraction, the problem of extracting an exhaustive set of (subject, relation, object) triplets that are co...
icon http://arxiv.org/abs/2311.15435v1

Functional Diffusion

We propose a new class of generative diffusion models, called functional diffusion. In contrast to previous work, functional diffusion works on samples that are represented by functions with a continu...
icon http://arxiv.org/abs/2210.05475v1

GENIE: Higher-Order Denoising Diffusion Solvers

Denoising diffusion models (DDMs) have emerged as a powerful class of generative models. A forward diffusion process slowly perturbs the data, while a deep model learns to gradually denoise. Synthesis...
icon http://arxiv.org/abs/2401.08981v2

Real-time generative design of diverse, "truly" optimized structu...

Compared with traditional design methods, generative design significantly attracts engineers in various disciplines. In thiswork, howto achieve the real-time generative design of optimized structures ...
icon http://arxiv.org/abs/2411.01067v2

Randomized Controlled Trials for Security Copilot for IT Administ...

As generative AI (GAI) tools become increasingly integrated into workplace environments, it is essential to measure their impact on productivity across specific domains. This study evaluates the effec...
icon http://arxiv.org/abs/2309.02614v1

Utilizing Generative Adversarial Networks for Stable Structure Ge...

This paper investigates the suitability of using Generative Adversarial Networks (GANs) to generate stable structures for the physics-based puzzle game Angry Birds. While previous applications of GANs...
icon http://arxiv.org/abs/2305.16274v1

Non-adversarial training of Neural SDEs with signature kernel sco...

Neural SDEs are continuous-time generative models for sequential data. State-of-the-art performance for irregular time series generation has been previously obtained by training these models adversari...