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🔥 New Feature: Multi-View Images in One Click! 🎨 Turn text/image → consistent multi-views (powered by Flux Kontext) → high-accuracy 3D models in seconds! 🚀 Boost your 3D workflow today:

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MeshyAI

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10,436 görüntüleme • 1 yıl önce •via X (Twitter)

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📢 New Feature: Convert Multiple Images to 3D Models Why you'll love it: - Upload multiple concept art in one click - Auto-generate all 3D models without resubmitting Perfect for bulk asset creation(props, weapons, environments)!
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📢 New Feature: Convert Multiple Images to 3D Models Why you'll love it: - Upload multiple concept art in one click - Auto-generate all 3D models without resubmitting Perfect for bulk asset creation(props, weapons, environments)!

MeshyAI

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🌟 Create anything in 3D! 🌟 Introducing CAT3D: a new method that generates high-fidelity 3D scenes from any number of real or generated images in one minute, powered by multi-view diffusion models. w/ lovely coauthors Aleksander Holynski, Ben Poole and an amazing team!
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🌟 Create anything in 3D! 🌟 Introducing CAT3D: a new method that generates high-fidelity 3D scenes from any number of real or generated images in one minute, powered by multi-view diffusion models. w/ lovely coauthors Aleksander Holynski, Ben Poole and an amazing team!

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🥳 Nano Banana is available for image generation in Meshy! Text → Image → 3D. Try the all-in-one AI workflow now!
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🥳 Nano Banana is available for image generation in Meshy! Text → Image → 3D. Try the all-in-one AI workflow now!

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Pixal3D by Tencent. 3D models from images with unprecedented accuracy. - Explicit 2D-3D correspondence - Aggregates multi-view feature volumes for global consistency - 93.57% IoU on Toys4K benchmark - Outperforms TRELLIS/Hunyuan3D-2.1 based on Direct3D-S2 + DINOv2
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Pixal3D by Tencent. 3D models from images with unprecedented accuracy. - Explicit 2D-3D correspondence - Aggregates multi-view feature volumes for global consistency - 93.57% IoU on Toys4K benchmark - Outperforms TRELLIS/Hunyuan3D-2.1 based on Direct3D-S2 + DINOv2

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Check out CAT3D! Image(s)-to-3D in 1 minute! Given any number of real or generated images, CAT3D uses a multi-view diffusion prior to create consistent novel views. These views are used to reconstruct a 3D scene using NeRF/3DGS.
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Check out CAT3D! Image(s)-to-3D in 1 minute! Given any number of real or generated images, CAT3D uses a multi-view diffusion prior to create consistent novel views. These views are used to reconstruct a 3D scene using NeRF/3DGS.

Philipp Henzler

12,737 görüntüleme • 2 yıl önce

🚀 I’m excited to announce that we just launched the first AI-powered onchain 3D creation tool on MONA! Turn text and images into high-quality 3D collectibles in seconds. Create -> mint -> sell all in 3D, all in one flow. Here's how it works ↓
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🚀 I’m excited to announce that we just launched the first AI-powered onchain 3D creation tool on MONA! Turn text and images into high-quality 3D collectibles in seconds. Create -> mint -> sell all in 3D, all in one flow. Here's how it works ↓

Justin Melillo ᯅ MONA

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🔥 New Feature: Multi-Image to 3D! Now you can upload multiple images of the same object to generate a more complete and accurate 3D model. 😉 More improvements coming soon! Try it out and let us know what you think. #3dmodeling #ai
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🔥 New Feature: Multi-Image to 3D! Now you can upload multiple images of the same object to generate a more complete and accurate 3D model. 😉 More improvements coming soon! Try it out and let us know what you think. #3dmodeling #ai

MeshyAI

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🚀High-Res 3D Text-to-Texture🚀 🎨#MVPaint delivers high-res 3D textures with minimal UV wrapping dependency and high versatility using synchronized multi-view diffusion 📑 Paper: 🏠 Project Page: 🧑‍💻 Code:
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🚀High-Res 3D Text-to-Texture🚀 🎨#MVPaint delivers high-res 3D textures with minimal UV wrapping dependency and high versatility using synchronized multi-view diffusion 📑 Paper: 🏠 Project Page: 🧑‍💻 Code:

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28,122 görüntüleme • 1 yıl önce

🥳 What's Improved in Meshy 5 from Preview? - NEW high-quality PBR textures - More reliable results - Kontext for multi-view & A/T pose generation - Smarter prompt helper & real-time texture edit - Stronger image alignment New Model, Half the Price – Start Pro for 50% Off Today!
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🥳 What's Improved in Meshy 5 from Preview? - NEW high-quality PBR textures - More reliable results - Kontext for multi-view & A/T pose generation - Smarter prompt helper & real-time texture edit - Stronger image alignment New Model, Half the Price – Start Pro for 50% Off Today!

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🚀Introducing LLaVA-NeXT Interleave: Now AI can understand and reason with multiple images at once - This opens up multi-image scenarios like multi-frame videos, multi-view 3D, and multiple inter-leaved images. - An all round LMM that can understand videos, images, and 3D More⬇️
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🚀Introducing LLaVA-NeXT Interleave: Now AI can understand and reason with multiple images at once - This opens up multi-image scenarios like multi-frame videos, multi-view 3D, and multiple inter-leaved images. - An all round LMM that can understand videos, images, and 3D More⬇️

Gradio

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All these consistent 3D characters were made with AI in under 20 min via a fast, simple workflow 🧵👇 🛠️ One tool: - Custom LoRA - Flux Kontext (back view control) - 3D gen: Rodin / Tripo / Hunyuan ⏱️ Get clean meshes + PBR textures in record time.
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All these consistent 3D characters were made with AI in under 20 min via a fast, simple workflow 🧵👇 🛠️ One tool: - Custom LoRA - Flux Kontext (back view control) - 3D gen: Rodin / Tripo / Hunyuan ⏱️ Get clean meshes + PBR textures in record time.

Emm | scenario.com

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📢WorldAgents: 3D worlds only from 2D image models - without any training! We propose an agentic approach with a Director (VLM) to plan the scene, a Generator (Flux or NanoBanana) for new views, and a Verifier (VLM) for selection / 3D consistency. -> High-fidelity 3D worlds from a single text prompt. What's remarkable: our agents find consistent views from 2D image models to obtain 3D-consistent worlds; this shows that image models contain world priors - agents just need to find them! Great work by Ziya Erkoç Angela Dai
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📢WorldAgents: 3D worlds only from 2D image models - without any training! We propose an agentic approach with a Director (VLM) to plan the scene, a Generator (Flux or NanoBanana) for new views, and a Verifier (VLM) for selection / 3D consistency. -> High-fidelity 3D worlds from a single text prompt. What's remarkable: our agents find consistent views from 2D image models to obtain 3D-consistent worlds; this shows that image models contain world priors - agents just need to find them! Great work by Ziya Erkoç Angela Dai

Matthias Niessner

18,886 görüntüleme • 2 ay önce

New on Poe: FLUX Kontext! Its multi-turn editing lets you refine images quickly with text prompts using our “Remix” button - allowing you to preserve character consistency while editing and even restyling your images. (1/3)
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New on Poe: FLUX Kontext! Its multi-turn editing lets you refine images quickly with text prompts using our “Remix” button - allowing you to preserve character consistency while editing and even restyling your images. (1/3)

Poe

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MVDream: Multi-view Diffusion for 3D Generation paper page: propose MVDream, a multi-view diffusion model that is able to generate geometrically consistent multi-view images from a given text prompt. By leveraging image diffusion models pre-trained on large-scale web datasets and a multi-view dataset rendered from 3D assets, the resulting multi-view diffusion model can achieve both the generalizability of 2D diffusion and the consistency of 3D data. Such a model can thus be applied as a multi-view prior for 3D generation via Score Distillation Sampling, where it greatly improves the stability of existing 2D-lifting methods by solving the 3D consistency problem. Finally, we show that the multi-view diffusion model can also be fine-tuned under a few shot setting for personalized 3D generation, i.e. DreamBooth3D application, where the consistency can be maintained after learning the subject identity.
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MVDream: Multi-view Diffusion for 3D Generation paper page: propose MVDream, a multi-view diffusion model that is able to generate geometrically consistent multi-view images from a given text prompt. By leveraging image diffusion models pre-trained on large-scale web datasets and a multi-view dataset rendered from 3D assets, the resulting multi-view diffusion model can achieve both the generalizability of 2D diffusion and the consistency of 3D data. Such a model can thus be applied as a multi-view prior for 3D generation via Score Distillation Sampling, where it greatly improves the stability of existing 2D-lifting methods by solving the 3D consistency problem. Finally, we show that the multi-view diffusion model can also be fine-tuned under a few shot setting for personalized 3D generation, i.e. DreamBooth3D application, where the consistency can be maintained after learning the subject identity.

AK

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Leonardo’s Omni Editing is here — powered by FLUX.1 Kontext and GPT-Image-1 You can now edit any image right inside the viewer — with a simple prompt. No switching tools. No breaking flow. This launch is powered by two advanced Omni models: ✅ GPT-Image-1 — for multi-reference creativity and context-aware generation ✅ FLUX.1 Kontext — developed by Black Forest Labs, with Leonardo as an official launch partner. Built for fast, controlled edits that preserve key details. What’s new: • Inline prompt bar built into every generated image • Make fast, precise edits: lighting, objects, layout, even in-image text • Switch between models based on your creative needs • Stay in one workflow — no extra steps, no restarts Try it now 🔥
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Leonardo’s Omni Editing is here — powered by FLUX.1 Kontext and GPT-Image-1 You can now edit any image right inside the viewer — with a simple prompt. No switching tools. No breaking flow. This launch is powered by two advanced Omni models: ✅ GPT-Image-1 — for multi-reference creativity and context-aware generation ✅ FLUX.1 Kontext — developed by Black Forest Labs, with Leonardo as an official launch partner. Built for fast, controlled edits that preserve key details. What’s new: • Inline prompt bar built into every generated image • Make fast, precise edits: lighting, objects, layout, even in-image text • Switch between models based on your creative needs • Stay in one workflow — no extra steps, no restarts Try it now 🔥

Leonardo.Ai

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Phoenix GenAI’s new generative AI model Image-to-3D is now online. Create high fidelity 3D models importable to Unreal Engine 5 or Unity simply by sending an original image into PhoenixLLM. Better yet, generate the source image using Phoenix GenAI’s Flux and feed it into Image-to-3D. This release marks yet another upgrade of GenAI’s arsenal of capabilities, getting it ready for multi-workflow GenAI agents, in which users will be able to combine text-to-image, image-to-prompt, text-to-video, text-to-3D, and image-to-3D into complex multi-step workflows with simple commands via PhoenixLLM. Image-to-3D is yet another addition to Phoenix’s Vertical AI Solutions for gaming, content, and metaverse. Users are able to use it as a Phoenix-native alternative to SkyNet AI Marketplace’s Tripo Integration earlier this year. #Phoenix $PHB
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Phoenix GenAI’s new generative AI model Image-to-3D is now online. Create high fidelity 3D models importable to Unreal Engine 5 or Unity simply by sending an original image into PhoenixLLM. Better yet, generate the source image using Phoenix GenAI’s Flux and feed it into Image-to-3D. This release marks yet another upgrade of GenAI’s arsenal of capabilities, getting it ready for multi-workflow GenAI agents, in which users will be able to combine text-to-image, image-to-prompt, text-to-video, text-to-3D, and image-to-3D into complex multi-step workflows with simple commands via PhoenixLLM. Image-to-3D is yet another addition to Phoenix’s Vertical AI Solutions for gaming, content, and metaverse. Users are able to use it as a Phoenix-native alternative to SkyNet AI Marketplace’s Tripo Integration earlier this year. #Phoenix $PHB

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Upload single or multi-view images to ComfyUI’s HY 3D 3.0 nodes for high-fidelity 3D assets—from product displays to game dev, done in minutes!
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Upload single or multi-view images to ComfyUI’s HY 3D 3.0 nodes for high-fidelity 3D assets—from product displays to game dev, done in minutes!

ComfyUI

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🚀 New from Meshy: 3D to Video. This powerful tool lets you transform your models into incredible images/videos, right in our editor. - Fast, high-quality results with Nano Banana + Veo 3 - Full creative control over camera & lighting - Easy drag-and-drop workflow Give it a try and share what you make!
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🚀 New from Meshy: 3D to Video. This powerful tool lets you transform your models into incredible images/videos, right in our editor. - Fast, high-quality results with Nano Banana + Veo 3 - Full creative control over camera & lighting - Easy drag-and-drop workflow Give it a try and share what you make!

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Meta presents: Pippo : High-Resolution Multi-View Humans from a Single Image Generates 1K resolution, multi-view, studio-quality images from a single photo in a one forward pass
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Meta presents: Pippo : High-Resolution Multi-View Humans from a Single Image Generates 1K resolution, multi-view, studio-quality images from a single photo in a one forward pass

Aran Komatsuzaki

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