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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

Baidu's stock surged 5% to $90.68, driven by China's booming AI model market. With 1810 projects totaling $64M in H1 2025, Baidu Intelligent Cloud leads in finance and energy sectors, securing 48 projects worth $51M. Partnered with 65% of state-owned enterprises for AI.....

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.

On July 7, the Tencent Hunyuan 3D team announced the launch of the industry's first art-level 3D generation large model, Hunyuan3D-PolyGen. By employing self-developed high-compression representation BPT technology and a autoregressive mesh generation framework, it enables accurate generation of complex geometric models with up to ten thousand faces. The model has breakthrough solutions for core pain points in 3D asset generation, such as poor topology quality, excessive face count, and difficulty in post-editing. It has improved the modeling efficiency of artists by over 70%. The relevant capabilities have been launched on the Tencent Hunyuan 3D AI creation engine and integrated into multiple game pipelines. Traditional

Tencent launched Hunyuan3D-PolyGen, the industry's first art-grade 3D generation model, using self-developed BPT technology to enhance wiring quality and complex object modeling. It generates high-precision geometric models, supports multiple surface types, and boosts gaming pipeline efficiency by 70+%.....

Feidu Tech launched 'Zhengrong Model', excelling in City3D tests with top-tier modeling and semantic understanding. It aids disaster simulation and heritage conservation, offering API for industry AI advancement.....

Anthropic is testing 'Claude Neptune v3', a new AI model with strong math skills, possibly rivaling OpenAI/Google. It may be a Claude4.5 precursor or breakthrough version, aiming to lead in the competitive AI market.....

Tencent open-sourced 'Hunyuan-A13B', an 80B-parameter MoE model with dynamic inference (130B active params). Supports 256K context, trained on 20T tokens. Achieves 87.3% on AIME2024 math, but comparisons show version disparities.....

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.....

Open-source multimodal model EarthMind, designed for Earth observation data, uses spatial attention for precise localization and cross-modal fusion to integrate optical and radar data, supporting multi-granular analysis for disaster monitoring and urban planning.....

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.

On July 4, 2025, Kunlun Xiwang continued to open-source the second-generation reward model Skywork-Reward-V2 series. This series includes 8 reward models based on different foundation models, with parameter sizes ranging from 600 million to 8 billion. Upon its release, it won all seven major reward model evaluation rankings, becoming a focus in the open-source reward model field. Reward models play a key role in the reinforcement learning from human feedback (RLHF) process. To build the next generation of reward models, Kunlun Xiwang has constructed a dataset containing 40 million

According to KPMG China's recent report, "The First 50 Health Tech Companies," China accounts for more than 70% of the global release volume of medical large models. This data not only demonstrates China's rapid development in the field of intelligent healthcare, but also reflects the wide application of large language models in the healthcare industry. The report points out that about 65% of the currently released medical large models are large language models. These models can process and generate natural language, playing a significant supporting role in the analysis of medical data, patient communication, and scientific research.

In the new energy vehicle market, Xiaopeng Automotive has once again drawn attention. On July 3rd, the Xiaopeng G7 Ultra was officially launched, becoming the first intelligent vehicle equipped with the local-end "VLA+VLM" large model. This innovative technology marks an important step forward for Xiaopeng in the field of intelligent driving. The Xiaopeng G7 Ultra is equipped with the VLA (active thinking and rapid decision-making capability) large model, making the driving experience more intelligent. In daily driving, the G7 Ultra can flexibly handle various complex driving scenarios, such as in traffic.