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cs.CV2026

SleepWalk: A Three-Tier Benchmark for Stress-Testing Instruction-Guided Vision-Language Navigation

Niyati Rawal, Sushant Ravva, Shah Alam Abir +5

Vision-Language Models (VLMs) have advanced rapidly in multimodal perception and language understanding, yet it remains unclear whether they can reliably ground language into spati…

cs.CV2026

Findings of the Counter Turing Test: AI-Generated Image Detection

Rajarshi Roy, Nasrin Imanpour, Ashhar Aziz +16

The rapid advancements in generative AI technologies, such as Stable Diffusion, DALL-E, and Midjourney, have significantly transformed the creation of synthetic visual content. Whi…

cs.CV2026

A Comprehensive Dataset for Human vs. AI Generated Image Detection

Rajarshi Roy, Ashhar Aziz, Shashwat Bajpai +17

Multimodal generative AI systems like Stable Diffusion, DALL-E, and MidJourney have fundamentally changed how synthetic images are created. These tools drive innovation but also en…

cs.CV2025

The Visual Counter Turing Test (VCT2): A Benchmark for Evaluating AI-Generated Image Detection and the Visual AI Index (VAI)

Nasrin Imanpour, Abhilekh Borah, Shashwat Bajpai +12

The rapid progress and widespread availability of text-to-image (T2I) generative models have heightened concerns about the misuse of AI-generated visuals, particularly in the conte…

cs.CV2025

DeHate: A Stable Diffusion-based Multimodal Approach to Mitigate Hate Speech in Images

Dwip Dalal, Gautam Vashishtha, Anku Rani +11

The rise in harmful online content not only distorts public discourse but also poses significant challenges to maintaining a healthy digital environment. In response to this, we in…

cs.CV2025

Peccavi: Visual Paraphrase Attack Safe and Distortion Free Image Watermarking Technique for AI-Generated Images

Shreyas Dixit, Ashhar Aziz, Shashwat Bajpai +4

A report by the European Union Law Enforcement Agency predicts that by 2026, up to 90 percent of online content could be synthetically generated, raising concerns among policymaker…