Adobe and Stanford Propose DMV3D: A Fast 3D Generation Method Driven by Transformers

Tencent's HunYuan InstantCharacter Open-Sourced: High Character Consistency, Customizable Poses, Styles, and Scenes

Yao Class Top Student, Shunyu Yao of OpenAI: AI Development Shifts from Model Innovation to Product Thinking

AI Video Generation Technology TTT: Generates One-Minute Complete Tom and Jerry Animations Directly, No Editing or Splicing Needed

A new research paper titled "One-Minute Video Generation with Test-Time Training" has been released, marking a significant advancement in AI video generation technology. This research successfully generates one-minute Tom and Jerry animations by introducing an innovative Test-Time Training (TTT) layer into a pre-trained Transformer model.

EasyControl: Empowering DiT Models with ControlNet-like Capabilities, Including Ghibli Style Transfer

In the field of AI art generation, diffusion models are transitioning from U-Net based architectures to Transformer-based architectures (DiT). However, the DiT ecosystem faces challenges in plugin support, efficiency, and multi-conditional control. Recently, a team led by Xiaojiu-z introduced EasyControl, an innovative framework designed to provide efficient and flexible conditional control capabilities for DiT models, effectively giving DiT models the power of ControlNet.

Krea Launches 3D Generation Capabilities and Upgrades Website Interface; Potential Use of Yuan Model Technology for Enhanced User Experience

Krea Launches 3D Capabilities and Website Redesign: From Text to 3D Creations in Seconds

Generative AI platform Krea recently announced the launch of its 3D generation capabilities and a complete website redesign. This marks a double breakthrough for Krea in technological innovation and user experience, further solidifying its leading position in the creative tools field. The newly launched 3D generation functionality is the core highlight of this update. Users can quickly generate interactive 3D objects from text descriptions or 2D images, adjusting angles, lighting, and textures in real-time. This functionality is based on Krea's proprietary AI model and internal...

NVIDIA AI Researchers Introduce FFN Fusion Technology: Accelerating Large Language Model Inference

Tencent Releases the Official Version of HunYuan-T1 Large Language Model with Significantly Enhanced Reasoning Capabilities

Tencent recently released the official version of its HunYuan large language model series – HunYuan-T1. This new model, built upon the medium-scale HunYuan base model and extensively fine-tuned, demonstrates significantly improved reasoning capabilities, particularly excelling in deep thinking and complex problem-solving. Since the launch of the HunYuan T1-Preview in February, users have experienced faster and more insightful processing. The official release marks a significant upgrade to the product line. The HunYuan-T1 development team leveraged the latest Turbo...

Moore Threads Open-Sources Two Major AI Frameworks, Achieving Over 90% Training Efficiency on Domestic GPUs

Challenging Conventions: A Breakthrough Transformer Architecture Without Normalization Layers

In the field of deep learning, normalization layers are considered an indispensable component of modern neural networks. Recently, research led by Meta FAIR research scientist Zhuang Liu, titled "Transformer without Normalization Layers", has garnered significant attention. This research not only introduces a new technique called Dynamic Tanh (DyT), but also demonstrates the effectiveness of Transformer architectures even without traditional normalization layers.