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A major breakthrough has emerged in the AI video field — Vidu Q1 video model, launched by Shengshu Technology, officially released the Reference Generation feature, offering a revolutionary experience where video material can be generated from imagination in one step, redefining the technical boundaries and production efficiency of content creation. In traditional video production processes, creators have to go through complex steps such as script writing, character design, storyboard drawing, real scene shooting, and post-production editing, and the creation of a short film often takes several weeks or even months. The release of the Reference Generation feature in Vidu Q1 has completely broken this established model. Users

PolyU & OPPO developed DLoRAL, a video super-resolution framework using dual LoRA: CLoRA for temporal consistency and DLoRA for spatial details. Its two-stage training balances quality and speed (10× faster inference), with open-source code/models available. Limited in tiny text recovery but promising for real-time applications.....

Hong Kong Polytechnic University and OPPO Research Institute jointly released the open-source video super-resolution framework DLoRAL, which generates high-definition videos in one step using diffusion models. The framework adopts a dual LoRA architecture: C-LoRA maintains temporal consistency between frames, while D-LoRA enhances spatial details. Through a two-stage training strategy, it optimizes temporal coherence and high-frequency information. Compared to traditional methods, DLoRAL improves inference speed by 10 times while maintaining smoothness, significantly enhancing image details, and providing an efficient open-source solution for video HD enhancement.

Bilibili focuses on video podcasting, launching 'Project H' AI tool for audio-to-video conversion. Support includes traffic boost, free recording spaces, and AI tools. The tool converts 1k words to video in 6 mins (target: 3 mins), with positive test feedback.....

Google's Gemini CLI adds audio/video processing, Markdown support & privacy features. With 85 improvements by 51 contributors, it now supports VSCodium/Neovim, upgraded to Ink6/React19, offering free million-token access under Apache2.0 license.....

Bilibili launches AI tool 'Project H' and support policies for video podcasts, aiming to help audio/text creators transition. Q1 2025 saw 259B mins (+270% YoY) consumed by 40M users. AI converts text/audio to video in 6 mins (soon 3). Offers traffic support and resources.....

B站开源AniSora V3动漫视频生成模型，提升质量与流畅度，支持多种风格。基于CogVideoX-5B/Wan2.1-14B，优化时空掩码，新增华为NPU加速20%。扩展千万片段数据集，增强多任务处理，达到顶尖角色一致性。....

Google announced the global launch of its latest video generation model, Veo3. This long-anticipated release has generated great excitement among users, as Veo3 is now available to Gemini users in over 159 countries, offering a new video creation experience. The key feature of the Veo3 video generation model is its ability to generate videos up to eight seconds long based on simple text prompts. According to Google, this technology is designed for creative users, especially those on social media who increasingly demand short-form content.

At today's Baidu AI DAY technology open day, Baidu's commercial R&D team officially launched its self-developed video generation model MuseSteamer and the accompanying video product platform **HuiXiang**. This innovation aims to create a comprehensive video generation solution by combining generative AI and multimodal technology, to meet the strong demand for native content production in scenarios such as search, advertising, and recommendations. The MuseSteamer video generation model series is rich, currently including Turbo, Lite, Pro, and

At the recent Baidu AIDAY Technology Open Day event, the Baidu Commercial R&D team officially announced two major innovative achievements: the self-developed video generation model MuseSteamer and the new video product platform "HuiXiang." MuseSteamer, as Baidu's self-developed video generation model, marks a significant progress in Baidu's artificial intelligence generated content (AIGC) field, especially in video creation. The simultaneous release of the video product platform HuiXiang will provide users with an integrated tool.

Tesla once again leads the automotive industry's technological revolution! Recently, Tesla released the world's first artificial intelligence (AI) full self-driving (FSD) delivery video from factory to customer's home, showcasing the latest breakthroughs in its autonomous driving technology. This 17-mile journey, lasting about 30 minutes, spans parking lots, highways, and city roads, ultimately delivering the vehicle accurately to the new owner's home. Full autonomous driving, a technological milestone. The video released by Tesla demonstrates the impressive performance of its FSD system in real-world scenarios. Starting from the factory, the car

Recently, an AI video generation tool called MOKI has attracted attention. Its 'AI Creative Advertising' feature allows users to convert images into professional-level videos with simple operations. According to the official introduction, users do not need editing experience or complex ideas. They only need to upload one image and choose limited-time-free templates such as product unboxing, fur transformation, and IP dancing, and they can quickly generate viral videos with cinematic camera effects.

Welcome to AIbase's [AI Daily Report]! Spend three minutes every day to learn about the latest AI news, helping you understand AI industry trends and innovative AI product applications. For more AI updates, visit: https://www.aibase.com/zh1. Tencent open-sources the lightweight Huyuan-A13B model, which can be deployed with just one mid-range GPU card. Tencent has released a new member of the Huyuan large model family, the Huyuan-A13B model, which uses a mixture of experts (MoE) architecture, with a total parameter scale of 80 billion and an activated parameter count of 13 billion, large

Recently, Google officially launched an AI fitting room app called Doppl, aimed at providing users with a new virtual try-on experience. With this app, users can simply upload a full-body photo and then choose their favorite clothes to try on. Whether these clothes come from thrift stores, friends' outfits, or images on social media, they can be easily achieved. The operation process of Doppl is very simple. Users first need to upload their full-body photos to the app. Then, they can upload photos or screenshots of other clothes to...