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Excited to share CrystalReasoner, a reasoning model for crystal structure generation with LLMs and property-conditioned generation through RL: Website: Paper: Code:

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Sherry Yang

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10,819 görüntüleme • 1 ay önce •via X (Twitter)

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Today we released the code for our CVPR 2026 paper, Flowception. Flowception bridges fully bidirectional sequence modeling and autoregressive generation by inserting frames via learned order, then denoising them with continuous flow. Website: Code:
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Today we released the code for our CVPR 2026 paper, Flowception. Flowception bridges fully bidirectional sequence modeling and autoregressive generation by inserting frames via learned order, then denoising them with continuous flow. Website: Code:

John Nguyen @ ICML

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As announced in partnership with NVIDIA at CES, we’re excited to introduce Stable Point Aware 3D (SPAR3D), setting a new standard in 3D generation. Ideal for running on NVIDIA RTX AI PCs, SPAR3D enables real-time editing and complete structure generation of 3D objects from a single image in under a second. You can download the weights on Hugging Face and code on GitHub, or access the model through the Stability AI API. Learn more here: (1/3)
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As announced in partnership with NVIDIA at CES, we’re excited to introduce Stable Point Aware 3D (SPAR3D), setting a new standard in 3D generation. Ideal for running on NVIDIA RTX AI PCs, SPAR3D enables real-time editing and complete structure generation of 3D objects from a single image in under a second. You can download the weights on Hugging Face and code on GitHub, or access the model through the Stability AI API. Learn more here: (1/3)

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Excited to share our #CoRL2024 paper on humanoid motion generation! Combining human motion priors with VLM feedback, Harmon generates natural, expressive, and text-aligned humanoid motion from freeform text descriptions. 👇(1/4)
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Excited to share our #CoRL2024 paper on humanoid motion generation! Combining human motion priors with VLM feedback, Harmon generates natural, expressive, and text-aligned humanoid motion from freeform text descriptions. 👇(1/4)

Zhenyu Jiang

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Image generation with Gemini just got a bananas upgrade and is the new state-of-the-art image generation and editing model. 🤯 From photorealistic masterpieces to mind-bending fantasy worlds, you can now natively produce, edit and refine visuals with new levels of reasoning, control and creativity. A quick dive into Gemini 2.5 Flash’s capabilities 🧵
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Image generation with Gemini just got a bananas upgrade and is the new state-of-the-art image generation and editing model. 🤯 From photorealistic masterpieces to mind-bending fantasy worlds, you can now natively produce, edit and refine visuals with new levels of reasoning, control and creativity. A quick dive into Gemini 2.5 Flash’s capabilities 🧵

Google DeepMind

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This symmetric diffusion paper at ICLR is nice (simple idea in retrospect): SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models We'd actually implemented this idea internally at Orbital, and it works nicely even for very large crystal structures:
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This symmetric diffusion paper at ICLR is nice (simple idea in retrospect): SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models We'd actually implemented this idea internally at Orbital, and it works nicely even for very large crystal structures:

Mark Neumann

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New Generation Model! 🚨 We're introducing the Mistral model to our expanding lineup of generation models. Mistral brings efficient performance and strong language understanding capabilities to our platform. Initial testing shows promising results in code comprehension and generation tasks, making it a valuable addition to development workflows. While we continue to optimize its implementation, early benchmarks demonstrate consistent and reliable outputs across various programming tasks.
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New Generation Model! 🚨 We're introducing the Mistral model to our expanding lineup of generation models. Mistral brings efficient performance and strong language understanding capabilities to our platform. Initial testing shows promising results in code comprehension and generation tasks, making it a valuable addition to development workflows. While we continue to optimize its implementation, early benchmarks demonstrate consistent and reliable outputs across various programming tasks.

ALCHEMIST AI 🔮

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The Stable Video Diffusion model just dropped 🔥 The new model supports: – Text-to-Video – Image-to-Video – 14 or 25 frames at 576 x 1024 – Multi-View Generation – Frame Interpolation – 3D Scene Understanding – Camera Control via LoRA Paper: Code: SVD model: SVD-XT model:
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The Stable Video Diffusion model just dropped 🔥 The new model supports: – Text-to-Video – Image-to-Video – 14 or 25 frames at 576 x 1024 – Multi-View Generation – Frame Interpolation – 3D Scene Understanding – Camera Control via LoRA Paper: Code: SVD model: SVD-XT model:

Dreaming Tulpa 🥓👑

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We found a new way to get language models to reason. 🤯 No RL, no training, no verifiers, no prompting. ❌ With better sampling, base models can achieve single-shot reasoning on par with (or better than!) GRPO while avoiding its characteristic loss in generation diversity.
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We found a new way to get language models to reason. 🤯 No RL, no training, no verifiers, no prompting. ❌ With better sampling, base models can achieve single-shot reasoning on par with (or better than!) GRPO while avoiding its characteristic loss in generation diversity.

Aayush Karan

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How can agents like LLMs become decision-making partners for humans? 💬 Excited to share a new paper + suite of envs for 𝘥𝘦𝘤𝘪𝘴𝘪𝘰𝘯-𝘰𝘳𝘪𝘦𝘯𝘵𝘦𝘥 𝘥𝘪𝘢𝘭𝘰𝘨𝘶𝘦𝘴, where agents + humans collab to solve hard everyday problems. [1/n] Site:
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How can agents like LLMs become decision-making partners for humans? 💬 Excited to share a new paper + suite of envs for 𝘥𝘦𝘤𝘪𝘴𝘪𝘰𝘯-𝘰𝘳𝘪𝘦𝘯𝘵𝘦𝘥 𝘥𝘪𝘢𝘭𝘰𝘨𝘶𝘦𝘴, where agents + humans collab to solve hard everyday problems. [1/n] Site:

Jessy Lin

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Introducing 𝗦𝘂𝗽𝗲𝗿 𝗝𝗦𝗢𝗡 𝗠𝗼𝗱𝗲, a framework for low latency structured output generation from LLMs. Generate JSON up to 𝟮𝟬𝘅 𝗳𝗮𝘀𝘁𝗲𝗿 from OpenAI and open source models. ❌ No need to threaten the model, tip the AI, etc ❌ Built with Alex Derhacobian 🔧 🧵👇
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Introducing 𝗦𝘂𝗽𝗲𝗿 𝗝𝗦𝗢𝗡 𝗠𝗼𝗱𝗲, a framework for low latency structured output generation from LLMs. Generate JSON up to 𝟮𝟬𝘅 𝗳𝗮𝘀𝘁𝗲𝗿 from OpenAI and open source models. ❌ No need to threaten the model, tip the AI, etc ❌ Built with Alex Derhacobian 🔧 🧵👇

Varun Shenoy

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We are excited to introduce Mercury, the first commercial-grade diffusion large language model (dLLM)! dLLMs push the frontier of intelligence and speed with parallel, coarse-to-fine text generation.
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We are excited to introduce Mercury, the first commercial-grade diffusion large language model (dLLM)! dLLMs push the frontier of intelligence and speed with parallel, coarse-to-fine text generation.

Inception

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Turn a simple idea into a storyboard, then generate the video with Seedance 2.0. This ComfyUI workflow uses LLMs to structure prompts into storyboard-ready scenes that define how the video should play out. The storyboard can be paired with reference images and sent directly into Seedance for video generation. To try this workflow, link below 👇
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Turn a simple idea into a storyboard, then generate the video with Seedance 2.0. This ComfyUI workflow uses LLMs to structure prompts into storyboard-ready scenes that define how the video should play out. The storyboard can be paired with reference images and sent directly into Seedance for video generation. To try this workflow, link below 👇

ComfyUI

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📢🚗✨ Excited to announce InfiniCube, our scalable generative model for dynamic 3D driving scene generation with high fidelity and controllability! InfiniCube generates very large-scale (300m×400m ~ 100,000m^2), dynamic 3D driving scenes given HD maps, 3D bounding boxes, and text prompts as controls. Website: Props to Yifan Lu for leading this project!!!! [1/N]
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📢🚗✨ Excited to announce InfiniCube, our scalable generative model for dynamic 3D driving scene generation with high fidelity and controllability! InfiniCube generates very large-scale (300m×400m ~ 100,000m^2), dynamic 3D driving scenes given HD maps, 3D bounding boxes, and text prompts as controls. Website: Props to Yifan Lu for leading this project!!!! [1/N]

Xuanchi Ren

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Excited to share the new dynamic navigation center for WePresent—a simpler way to search, navigate, and save content. With and code by Lorenzo Migliorero
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Excited to share the new dynamic navigation center for WePresent—a simpler way to search, navigate, and save content. With and code by Lorenzo Migliorero

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The boomer generation are the luckiest generation. There is no justification for the triple lock for all, when boomers could buy a 4 bed property for £30k, free university education and less red tape for business.
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The boomer generation are the luckiest generation. There is no justification for the triple lock for all, when boomers could buy a 4 bed property for £30k, free university education and less red tape for business.

Lin Mei

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Image generation on Lovable now supports images with transparent backgrounds; perfect for your website assets! It also supports the latest, highest-quality image generation models, contributing to making your app even more beautiful
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Image generation on Lovable now supports images with transparent backgrounds; perfect for your website assets! It also supports the latest, highest-quality image generation models, contributing to making your app even more beautiful

Benjamin Verbeek

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China is on 🔥🔥 ByteDance just introduced new paper for AI Video "Phantom" Subject-Consistent Video Generation via Cross-Modal Alignment. Here’s what it does: 1. Identity-Preserving Video Generation. 2. Single-Reference and Multi-Reference Subject-to-Video Generation. 14 Wild examples 👇
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China is on 🔥🔥 ByteDance just introduced new paper for AI Video "Phantom" Subject-Consistent Video Generation via Cross-Modal Alignment. Here’s what it does: 1. Identity-Preserving Video Generation. 2. Single-Reference and Multi-Reference Subject-to-Video Generation. 14 Wild examples 👇

AshutoshShrivastava

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With Hunyuan3D World Model 1.0 now released and open-sourced, we're excited to showcase the technical highlights behind this impressive innovation: ✅360° Panoramic Generation: Creates complete, immersive “world scenes”, far beyond localized views. ✅Explorable 3D Scene Generation: Generates diverse, spatially consistent 3D worlds from text/image for truly immersive exploration. ✅Interactive/Editable: Achieves separation of foreground objects, background terrain, ground, and sky, for seamless secondary editing. ✅Exportable Mesh: Generated scenes can be exported as 3D meshes for direct import into mainstream game engines and modeling software. ✅Industry-Leading SOTA Evaluation: Surpasses state-of-the-art open-source models in generation quality. As the industry's first open-source model for physical simulation and explorable world generation, Hunyuan3D World Model 1.0 aims to foster a collaborative community ecosystem with developers and enthusiasts. ✨ Try it now: 🤗 Hugging Face:
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With Hunyuan3D World Model 1.0 now released and open-sourced, we're excited to showcase the technical highlights behind this impressive innovation: ✅360° Panoramic Generation: Creates complete, immersive “world scenes”, far beyond localized views. ✅Explorable 3D Scene Generation: Generates diverse, spatially consistent 3D worlds from text/image for truly immersive exploration. ✅Interactive/Editable: Achieves separation of foreground objects, background terrain, ground, and sky, for seamless secondary editing. ✅Exportable Mesh: Generated scenes can be exported as 3D meshes for direct import into mainstream game engines and modeling software. ✅Industry-Leading SOTA Evaluation: Surpasses state-of-the-art open-source models in generation quality. As the industry's first open-source model for physical simulation and explorable world generation, Hunyuan3D World Model 1.0 aims to foster a collaborative community ecosystem with developers and enthusiasts. ✨ Try it now: 🤗 Hugging Face:

Tencent Hy

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We're extremely excited to announce the release of PATINA, a first-of-its-kind model that excels at PBR texture generation 🚀 🥇 SOTA commercial offering of PBR material creation, bridging the gap between AI image generation and traditional CGI 🌱 Homegrown by us at fal 🤑 Estimate your own material maps at $0.01 / map / megapixel 🖼️ 1K up to 8K material generation starting at just $0.08 for a complete five-map-plus-render material from text (and optional image) 🔍 Identify and extract materials from images with plain language
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We're extremely excited to announce the release of PATINA, a first-of-its-kind model that excels at PBR texture generation 🚀 🥇 SOTA commercial offering of PBR material creation, bridging the gap between AI image generation and traditional CGI 🌱 Homegrown by us at fal 🤑 Estimate your own material maps at $0.01 / map / megapixel 🖼️ 1K up to 8K material generation starting at just $0.08 for a complete five-map-plus-render material from text (and optional image) 🔍 Identify and extract materials from images with plain language

fal

173,855 görüntüleme • 3 ay önce