Something big is taking shape. After 8 years of evolution, Italdesign is about to rewrite the rules of vehicle development. A new era of design simulation begins soon. Stay tuned. #Italdesign #BEIDENEERS #ConceptLab

🚗🛠️ ¡Mini Racer Car Shop Simulator abre sus puertas el 9 de mayo en Steam! 🏁✨ youtube.com/watch?v=GAhDa66_… ¡Restaura, personaliza y vende coches de carreras en miniatura en este encantador simulador de gestión! Fecha de lanzamiento: 9 de mayo de 2025 Desarrollador: @bewolbastudios   Editor: @Play_Way Plataforma: PC (Steam) Precio: Por confirmar Género: Simulación, Gestión, Tycoon ¿Listo para convertir un garaje ruinoso en el paraíso de los fanáticos de los mini coches? En Mini Racer Car Shop Simulator te pondrás en la piel de un excéntrico propietario de tienda que debe restaurar, modificar y vender pequeños coches de carreras para hacer crecer su negocio. Con una jugabilidad tipo tycoon y visuales encantadores, este juego te permitirá administrar cada aspecto de tu tienda... ¡y hasta competir con tus creaciones! 🧰 CARACTERÍSTICAS PRINCIPALES ¡Restaura y personaliza mini coches! Cada coche viene en partes que puedes reunir y montar. Usa piezas raras, mejora el rendimiento y crea verdaderas joyas mecánicas en miniatura. Sistemas de gacha para piezas raras: Consigue packs con piezas al azar. ¡Quizás encuentres justo lo que necesitas para tu próximo coche estrella! Vende coches y piezas: Gestiona tu stock con estrategia. Desde motores miniaturizados hasta ruedas únicas, ofrece a tus clientes lo mejor para que construyan sus coches soñados. Área de exhibición personalizada: Expón tus mejores creaciones en una zona especial de la tienda. Ponles precio según sus características ¡y véndelos con orgullo! ¡Prueba tus creaciones en pista! Testea velocidad, maniobrabilidad y mejoras únicas en un circuito especialmente diseñado para coches mini. ¡El rendimiento marca la diferencia! Colecciona y comercia: Puedes construir tu propia colección de coches y piezas, intercambiarlas o venderlas en tu tienda. 🏁 Mini Racer Car Shop Simulator llega a Steam este 9 de mayo. Prepara el destornillador, calienta motores... ¡y haz rugir tus mini máquinas! #MiniRacerCarShop #Simulator #CochesMiniatura #conceptlab

🦋 Rather than merely generating images, CREA reinvents objects with novel creative concepts. Compared to ConceptLab, Flux, and SDXL, CREA outputs are more diverse, imaginative, and aligned with intent. 🖇️

Check out @yuvalalaluf's talk on ConceptLab at #SIGGRAPH2024 this week! 🧬🔬🧪

If you're at #SIGGRAPH2024 this week, come check out our talks on ConceptLab 🧪🔮 & Cross-Image Attention 🦓🦒 this Thursday @ 9am & 3:45pm! To get you excited, check out our Fast Forwards we'll present Sunday night! 📽️ And if you're around this week, DM me if you want to chat!

Happy to share that 🔬ConceptLab🔬 has been accepted to TOG and will be presented in the upcoming #SIGGRAPH2024 Really enjoyed working on this one with @kfir99 and @yuvalalaluf 😊 Code and project page can be found below🧑‍💻 github.com/kfirgoldberg/Conc… kfirgoldberg.github.io/Conce…

ConceptSynth is based on our original ConceptLab plugin suite, and offers a powerful intellectual tool for creating and understanding concepts--a whole laboratory for thinking about thinking in novel and creative ways chat.openai.com/g/g-9RdCDuLA…

🚨NEW WEBINAR SERIES: CONCEPTUAL ENGINEERING FOR EMERGING TECHNOLOGIES | WINTER 2024💥 A joint venture by the Conceptual Engineering Network, the ESDIT Consortium, HKU's AI&Humanity Lab, and ConceptLab HK. 📅Detailed program coming soon! 👉 conceptualengineering.xyz/ce…

ConceptLab @pika_labs = 🤯

Excited for the first 🤗 meetup in Israel! Looking forward to our presentation of ConceptLab 😄

Last week's AI research highlights: ▪️ Retroformer ▪️ MM-Vet ▪️ FC-CLIP ▪️ ConceptLab ▪️ AlphaStar ▪️ UniversalNER ▪️ AgentBench ▪️ FLIRT ▪️ Shepherd ▪️ and more! 🧵

How Can We Generate A New Concept That Has Never Been Seen? Researchers at Tel Aviv University Propose ConceptLab: Creative Generation Using Diffusion Prior Constraints Quick Read: marktechpost.com/2023/08/12/… Paper: arxiv.org/abs/2308.02669 Project: kfirgoldberg.github.io/Conce… Github: github.com/kfirgoldberg/Conc… #ArtificialIntelligence #MachineLearning #computers #DataScientists #DataScientist

Hey you are author of conceptlab! I loved the paper

How can we generate a new, imaginary concept that has never been seen before? e.g., generating a pet that differs from all existing pets! Here is the answer. Can't wait for the code and models to be released. Paper: ConceptLab: Creative Generation using Diffusion Prior Constraints by @EladRichardson and team from @TelAvivUni Link: arxiv.org/abs/2308.02669 Project: kfirgoldberg.github.io/Conce… #generativeAI #diffusion #generativeart #DeepLearning #MachineLearning

ConceptLab：使用扩散先验约束进行创意生成 论文链接：huggingface.co/papers/2308.0…… 近期的文本到图像生成模型使我们能够将文字转化为生动、吸引人的图像。随后涌现的个性化技术也使我们能够在新场景中想象独特的概念。 然而，一个有趣的问题仍然存在：我们如何生成一个从未见过的新的想象概念？在这篇论文中，我们介绍了创意文本到图像生成的任务，我们的目标是生成一个广泛类别的新成员（例如，生成与所有现有宠物都不同的宠物）。我们利用了较少研究的扩散先验模型，并展示了创意生成问题可以被表述为在扩散先验的输出空间上的优化过程，从而产生一套“先验约束”。为了防止我们生成的概念与现有成员合并，我们加入了一个问答模型，该模型能够自适应地向优化问题添加新的约束，鼓励模型发现越来越多的独特创意。 最后，我们展示了我们的先验约束也可以作为一个强大的混合机制，使我们能够在生成的概念之间创建混合体，为创意过程带来更多的灵活性。

Conceptlab is now on arxiv 📃 Thanks @_akhaliq for sharing ❤️ Check out our thread to learn more 🧵

おもろ。存在しない概念を勝手に見つけるクリエーティブな拡散モデル ConceptLab kfirgoldberg.github.io/Conce… Textual Inversionみたいにテキストトークンに新しい概念を割り当てて最適化する手法。例えば、「ペット」でありながら、「犬」「猫」のような既存の概念からは遠ざかるように最適化

ConceptLab: Creative Generation using Diffusion Prior Constraints paper page: huggingface.co/papers/2308.0… Recent text-to-image generative models have enabled us to transform our words into vibrant, captivating imagery. The surge of personalization techniques that has followed has also allowed us to imagine unique concepts in new scenes. However, an intriguing question remains: How can we generate a new, imaginary concept that has never been seen before? In this paper, we present the task of creative text-to-image generation, where we seek to generate new members of a broad category (e.g., generating a pet that differs from all existing pets). We leverage the under-studied Diffusion Prior models and show that the creative generation problem can be formulated as an optimization process over the output space of the diffusion prior, resulting in a set of "prior constraints". To keep our generated concept from converging into existing members, we incorporate a question-answering model that adaptively adds new constraints to the optimization problem, encouraging the model to discover increasingly more unique creations. Finally, we show that our prior constraints can also serve as a strong mixing mechanism allowing us to create hybrids between generated concepts, introducing even more flexibility into the creative process.

Excited to share our new work: ConceptLab! 🧪🔮 With ConceptLab, you can dream up a new pet, design new buildings, create a new superhero, and even compose brand new art styles! 🐶🏠🦸‍♂️🎨 Find out how below! 🤩

ConceptLab can be used to mix up generated concepts to iteratively learn new unique creations. This process can be repeated to create further "Generations", each one being a hybrid between the previous two.