ByteDance

ByteDance AI Research Proposes a Novel Self-Supervised Learning Framework to Create...

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A key entry point into the digital world, which is more prevalent in modern life for socializing, shopping, gaming, and other activities, is a...

ByteDance AI Researchers Introduce ‘MagicVideo,’ an Efficient Text-to-Video Generation Framework based...

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Generative AI models have come an extremely long way in the last few years. Their capability increased significantly with the advancement of diffusion models....

Computer Science Researchers at Bytedance Developed Monolith: a Collisionless Optimised Embedding...

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Over the past decade, a surge in the number of businesses powered by recommendation techniques has been observed. Delivering personalized content for each user...

Meet MagicMix: An AI Model That Brings Semantic Mixing Capability to...

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Large-scale text-conditioned image generation models have shown impressive results in recent years. They can generate realistic-looking images given a text prompt. These models are...

Researchers at ByteDance develop IDOL for enabling Models to learn more...

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The goal of video instance segmentation is to simultaneously find, segment, and track all instances of an object in a video. Due to the...

Researchers from Bytedance and Dalian University Propose 🦄 ‘Unicorn’: a Unified...

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Object tracking is one of the core applications in the field of computer vision. It constructs pixel-level or instance-level connections amongst frames and produces...

Bytedance Researchers Propose CLIP-GEN: A New Self-Supervised Deep Learning Generative Approach...

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This Article Is Based On The Research Paper 'CLIP-GEN: Language-Free Training of a Text-to-Image Generator with CLIP'. All Credit For This Research Goes To...

Bytedance Announces A New Plugin That Utilizes Machine Learning For Audio...

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This Article Is Based On Mawf Insights and Information. All Credit For This Research Goes To The Researchers Of This Project 👏👏👏 Please Don't Forget...

Researchers From ByteDance Introduce MetaFormer: A Unified Meta Framework for Fine-Grained...

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Fine-grained visual classification, in contrast to generic object classification, tries to correctly classify things from the same basic category (birds, vehicles, etc.) into subcategories....

ByteDance Proposes An Impressive Multi-Object Tracking Architecture

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Multi-object tracking (MOT) involves identifying and following objects as they move about in videos. Currently, available methods obtain identities by associating detection boxes whose...

ByteDance Proposes ‘DyStyle’: A Novel Dynamic Neural Network For Style Editing

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In the last few years, AI researchers have been using Generative adversarial networks (GANs) to create images with unprecedented levels of diversity and photorealism,...

ByteDance (Developer of TikTok) Unveils The Most Advanced, Real-Time, HD, Human...

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The use of real-time background replacement is becoming popular in many areas. For example, video conferencing and entertainment are two fields where this technique...

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