Goruntu & Video
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AI Video Generator Anime Opening: The Complete Guide
Press release - Link Panda SEO Agency - AI Video Generator Anime Opening: The Complete Guide - published on openPR.com.
DYSP Assures ‘Logical Conclusion’ in AI Video Probe – 3 May 2026
Deputy Superintendent of Police Salim Shaikh has stated that the ongoing probe into the controversial AI-generated video case will reach a logical...
Netflix Is Paying Up to $545,000 for an AI Video Manager to Shape Filmmaking
Netflix is hiring an AI Video Product Manager with a salary range of up to $545000. The role hints at AI tools designed for directors, editors, colorists,...
Funny AI video of Sinner and Zverev wrestling goes viral before Madrid final with Djokovic
An AI-generated video has gone viral ahead of the Madrid final, portraying Jannik Sinner and Sascha Zverev in a dramatic wrestling showdown.
Bruce Lee Epic Trailer Preview | Recreated by Sora AI
iconic action moments are showcased in a fast-paced sequence, delivering strong tension and a full trailer vibe, recreated by Sora AI.
Midjourney V8.1がWeb版とDiscordで正式提供開始、SREFとムードボードの画質も大幅向上
Midjourneyが2026年4月30日（米国時間）、画像生成AI「V8.1」をDiscordに加えmidjourney.comでも提供開始。SREF、ムードボード、HD画像の画質とシャープネスを向上。
Everything About This BMW iX3 Video Is Fake
Before we get stuck into this, let's be clear that BMW has created this purely AI video advert for the iX3 as an experiment. As BMW Senior VP Bernd Koerber...
Four graduates are building an AI video-dubbing tool for African filmmakers
Apotierioluwa Owoade had a problem he could not stop thinking about. He had spent time working at Aforevo, a local streaming and dubbing firm in Lagos,...
Seedance 2.0 Premieres in Hollywood: Revolutionary AI Video Model Makes Grand Entrance to US Entertainment Industry
Seedance 2.0 Official US Premeire Banner BytePlus Logo Golden Seed Award logo AI Filmmaking meets Hollywood as 600+ experience Seedance 2.0 firsthand,...
Data Centers At Lake Of The Ozarks? And That Viral AI Video | Take On The Lake Ep 39
In Camden County, Missouri, hundreds of residents showed up to a County Commission meeting to protest an Opportunity Zone and the data center that might...
Posterior Augmented Flow Matching
Flow matching (FM) trains a time-dependent vector field that transports samples from a simple prior to a complex data distribution. However, for high-dimensional images, each training sample supervises only a single trajectory and intermediate point, yielding an extremely sparse and high-variance training signal. This under-constrained supervision can cause flow collapse, where the learned dynamics memorize specific source-target pairings, mapping diverse inputs to overly similar outputs, failin...
Persistent Visual Memory: Sustaining Perception for Deep Generation in LVLMs
While autoregressive Large Vision-Language Models (LVLMs) demonstrate remarkable proficiency in multimodal tasks, they face a "Visual Signal Dilution" phenomenon, where the accumulation of textual history expands the attention partition function, causing visual attention to decay inversely with generated sequence length. To counteract this, we propose Persistent Visual Memory (PVM), a lightweight learnable module designed to ensure sustained, on-demand visual perception. Integrated as a parallel...
Let ViT Speak: Generative Language-Image Pre-training
In this paper, we present \textbf{Gen}erative \textbf{L}anguage-\textbf{I}mage \textbf{P}re-training (GenLIP), a minimalist generative pretraining framework for Vision Transformers (ViTs) designed for multimodal large language models (MLLMs). To better align vision encoders with the autoregressive nature of LLMs, GenLIP trains a ViT to predict language tokens directly from visual tokens using a standard language modeling objective, without contrastive batch construction or an additional text dec...
GMGaze: MoE-Based Context-Aware Gaze Estimation with CLIP and Multiscale Transformer
Gaze estimation methods commonly use facial appearances to predict the direction of a person gaze. However, previous studies show three major challenges with convolutional neural network (CNN)-based, transformer-based, and contrastive language-image pre-training (CLIP)-based methods, including late fusion of image features, lack of factor-aware conditioning, and impractical capacity scaling. To address these challenges, we propose Globally-conditioned Multi-scale Gaze estimation (GMGaze), which ...
Unsupervised Denoising of Real Clinical Low Dose Liver CT with Perceptual Attention Networks
With the development of deep learning, medical image processing has been widely used to assist clinical research. This paper focuses on the denoising problem of low-dose computed tomography using deep learning. Although low-dose computed tomography reduces radiation exposure to patients, it also introduces more noise, which may interfere with visual interpretation by physicians and affect diagnostic results. To address this problem, inspired by Cycle-GAN for unsupervised learning, this paper pro...
Make Your LVLM KV Cache More Lightweight
Key-Value (KV) cache has become a de facto component of modern Large Vision-Language Models (LVLMs) for inference. While it enhances decoding efficiency in Large Language Models (LLMs), its direct adoption in LVLMs introduces substantial GPU memory overhead due to the large number of vision tokens processed during the prefill stage. To tackle this problem, we propose LightKV, a novel approach that reduces KV cache size by exploiting the redundancy among vision-token embeddings. Guided by text pr...
Map2World: Segment Map Conditioned Text to 3D World Generation
3D world generation is essential for applications such as immersive content creation or autonomous driving simulation. Recent advances in 3D world generation have shown promising results; however, these methods are constrained by grid layouts and suffer from inconsistencies in object scale throughout the entire world. In this work, we introduce a novel framework, Map2World, that first enables 3D world generation conditioned on user-defined segment maps of arbitrary shapes and scales, ensuring gl...
Modeling Subjective Urban Perception with Human Gaze
Urban perception describes how people subjectively evaluate urban environments, shaping how cities are experienced and understood. Existing computational approaches primarily model urban perception directly from street view images, but largely ignore the human perceptual process through which such judgments are formed. In this paper, we introduce Place Pulse-Gaze, an urban perception dataset that augments street view images with synchronized eye-tracking recordings and individual perception labe...
Quantum Gradient-Based Approach for Edge and Corner Detection Using Sobel Kernels
Edge detection refers to identifying points in a digital image where intensity changes sharply, indicating object boundaries or structural features. Corners are locations where gray-level intensity changes abruptly in multiple directions and are widely used in feature extraction, object tracking, and 3D modeling. In this study, we present a quantum implementation of Sobel-based edge detection and Harris-style corner detection. Two quantum image encoding methods - Flexible Representation of Quant...
Exploring the Limits of End-to-End Feature-Affinity Propagation for Single-Point Supervised Infrared Small Target Detection
Single-point supervised infrared small target detection (IRSTD) drastically reduces dense annotation costs. Current state-of-the-art (SOTA) methods achieve high precision by recovering mask supervision through explicit, offline pseudo-label construction, such as multi-stage active learning and physics-driven mask generation. In this paper, we study a minimalist alternative: generating point-to-mask supervision online through in-batch, point-anchored feature-affinity propagation. We instantiate t...