🚀Try out rCM—the most advanced diffusion distillation! ✅First to scale up sCM/MeanFlow to 10B+ video models ✅Open-sourced FlashAttention-2 JVP kernel & FSDP/CP support ✅High quality & diversity videos in 2~4 steps Paper: arxiv.org/abs/2510.08431 Code: github.com/NVlabs/rcm

😠💢😵‍💫Tired of endless data collection & fine-tuning every time you try out VLA? Meet RDT2, the first foundation model that zero-shot deploys on any robot arms with unseen scenes, objects & instructions. No collection. No tuning. Just plug and play🚀 Witness a clear sign of embodied superintelligence - 7B one-step diffusion → 23 Hz inference⚡ - Re-designed UMI @chichengcc @SongShuran and manufactured 100 portable devices - Trained on 10K-hour UMI data on 100 real houses - Zero-shot: pick, place, press, wipe… open-vocabulary - Demos: block 30 m/s arrows in 500 ms🛡️; first to play ping-pong with an end-to-end model 🏓; extinguish burning incense by shaking quickly🥢 Fully open source at github.com/thu-ml/RDT2 Project page: rdt-robotics.github.io/rdt2/ Thanks to awesome collaborators @bang_guo96535 @D0g4M74794 @EthanNg51931527

Vibe coding with @xai grok 4 and @Alibaba_Qwen Image on my phone

🚀 Meet Qwen-Image — a 20B MMDiT model for next-gen text-to-image generation. Especially strong at creating stunning graphic posters with native text. Now open-source. 🔍 Key Highlights: 🔹 SOTA text rendering — rivals GPT-4o in English, best-in-class for Chinese 🔹 In-pixel text generation — no overlays, fully integrated 🔹 Bilingual support, diverse fonts, complex layouts 🎨 Also excels at general image generation — from photorealistic to anime, impressionist to minimalist. A true creative powerhouse. Blog:qwenlm.github.io/blog/qwen-i… Hugging Face：huggingface.co/Qwen/Qwen-Ima… ModelScope：modelscope.cn/models/Qwen/Qw… Github：github.com/QwenLM/Qwen-Image Technical report：qianwen-res.oss-cn-beijing.a… Demo: modelscope.cn/aigc/imageGene…

DeepMesh is out on Hugging Face Auto-Regressive Artist-mesh Creation with Reinforcement Learning Conditioned on point clouds and images, DeepMesh generates meshes with intricate details and precise topology, outperforming state-of-the-art methods in both precision and quality.

Generate meshes with AI locally in Blender 📢 New open-source release meshgen, a local blender integration of LLaMa-Mesh, is open source and available now 🤗

CRM Single Image to 3D Textured Mesh with Convolutional Reconstruction Model Feed-forward 3D generative models like the Large Reconstruction Model (LRM) have demonstrated exceptional generation speed. However, the transformer-based methods do not leverage the geometric

Vidu4D Single Generated Video to High-Fidelity 4D Reconstruction with Dynamic Gaussian Surfels Video generative models are receiving particular attention given their ability to generate realistic and imaginative frames. Besides, these models are also observed to exhibit strong

Thank you all for introducing Vidu 🚀: Elevating video creation with our revolutionary U-ViT tech. Vidu AI supports crafting 16-second, 1080p HD videos with multicam flair and flawless transitions. Explore the edge in AI-driven video magic. Guess what's next!#Vidu #AIGC