Leffa from Meta is a 🆕 unified framework for... controllable person image generation that enables precise manipulation of both appearance (i.e., Virtual try-on) and pose (i.e., Pose transfer). Learn more about 📚 Code,🔥 Demo, and 🤗 Model ⬇️show more

🆕 🔥 AniDoc: Animation Creation Made Easier It can... colorize a sequence of sketches based on a character design reference with high fidelity, even when the sketches significantly differ in pose and scale. Explore more ⬇️show more

Wonderland: Navigating 3D Scenes from a Single Image Contributions:... • First, we introduce a representation for controllable 3D generation by leveraging the generative priors from camera-guided video diffusion models. Unlike image models, video diffusion models are trained on extensive video datasets. This enables them to capture comprehensive spatial relationships within scenes across multiple views and embed a form of "3D awareness" in their latent space, which allows us to maintain 3D consistency in novel view synthesis. • Second, to achieve controllable novel view generation, we empower video models with precise control over specified camera motions. We introduce a novel dual-branch conditioning mechanism that effectively incorporates desired diverse camera trajectories into the video diffusion model. This enables expansion of a single image into a multi-view consistent capture of a 3D scene with precise pose control. • Third, to achieve efficient 3D reconstruction, we directly transform video latents into 3DGS. We propose a novel latent-based large reconstruction model (LaLRM) that lifts video latents to 3D in a feed-forward manner. With this design, during inference, our model directly predicts 3DGS from a single input image, effectively aligning the generation and reconstruction tasks—and bridging image space and 3D space—through the video latent space. Compared with reconstructing scenes from images, the video latent space offers a 256× spatial-temporal reduction while retaining essential and consistent 3D structural details. Such a high degree of compression is crucial, as it allows the LaLRM to handle a wider range of 3D scenes within the reconstruction framework, with the same memory constraints.show more

Show-o One Single Transformer to Unify Multimodal Understanding and... Generation discuss: We present a unified transformer, i.e., Show-o, that unifies multimodal understanding and generation. Unlike fully autoregressive models, Show-o unifies autoregressive and (discrete) diffusion modeling to adaptively handle inputs and outputs of various and mixed modalities. The unified model flexibly supports a wide range of vision-language tasks including visual question-answering, text-to-image generation, text-guided inpainting/extrapolation, and mixed-modality generation. Across various benchmarks, it demonstrates comparable or superior performance to existing individual models with an equivalent or larger number of parameters tailored for understanding or generation. This significantly highlights its potential as a next-generation foundation model.show more

GPT Image 2.0 is now available on Akool 🚀... This isn’t just an upgrade—it’s a major leap in AI image generation. With GPT Image 2.0, you get: • Sharper, high-resolution outputs with improved detail and realism • Much stronger text rendering (finally, text in images that actually looks right) • Better prompt understanding for more accurate and controllable results • Improved consistency across variations and multi-image generations • More precise editing & refinement for iterative creative workflows Whether you're creating marketing visuals, product images, or storytelling assets, GPT Image 2.0 delivers cleaner, more reliable, and production-ready results. Now live on Akool, try the latest in AI image generation today.show more

A lot of people mistake the frog pose to... dog pose Watch and learnshow more

How can we address the scarcity of data required... for specialized AI? Learn about Simula, a framework that reframes synthetic data generation as dataset-level mechanism design. By using reasoning to architect datasets from first principles, Simula enables fine-grained control over coverage, complexity, and quality. More →show more

Try new poses and angles! 3D drawing figures are... ideal for when you have a pose in mind but can't find that perfect reference image. Learn how to apply poses and other fun additions like BVH files to your 3D model in this tutorial: #clipstudioshow more

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)show more

If you don’t know about Dog pose or Frog... pose then watch this and learnshow more

The next generation of #PhotoshopAI is here. Learn more... about the latest features and capabilities in Photoshop (beta) and Photoshop, powered by #AdobeFirefly Image 3 Model. Questions? Let's dive in. 💙show more

BEN2: Background Erase Network Remove background from images as... well as videos cleanly!🔥 Learn more about the model 👇show more

Wrote a new version of my mesh decal system,... this one runs completely on the GPU (i.e. all geometry generation, rendering and pooling).show more

Switti -- a new scale-wise transformer for text-to-image generation... 🦾 🔥 Improved generation of fine-grained details. Outperforms existing T2I AR models and competes with state-of-the-art T2I diffusion models while being up to 7x faster.show more

Native image generation with Gemini is live 🚀🔥 You... can generate interleaved text and images and edit uploaded images all in a unified model. Big congrats to Robert Riachi Kaushik Shivakumar Fabian Mentzer and many more amazing folks who built this! Try it out and tell us what you think:show more

DimensionX: Create Any 3D and 4D Scenes from a... Single Image with Controllable Video Diffusion TL;DR: Create 3/4DGS from Video Diffusion Note: Some first inference code released (not all yet). Contributions (cited): • We present DimensionX, a novel framework for generating photorealistic 3D and 4D scenes from only a single image using controllable video diffusion. • We propose ST-Director, which decouples the spatial and temporal priors in video diffusion models by learning (spatial and temporal) dimension-aware modules with our curated datasets. We further enhance the hybriddimension control with a training-free composition approach according to the essence of video diffusion denoising process. • To bridge the gap between video diffusion and real-world scenes, we design a trajectory-aware mechanism for 3D generation and an identity-preserving denoising approach for 4D generation, enabling more realistic and controllable scene synthesis. • Extensive experiments manifest that our DimensionX delivers superior performance in video, 3D, and 4D generation compared with baseline methods.show more

We have multi-character pose transfer now 👀 This is... a new model implementation called SCAIL from Zhipu AI. Excited to try it out - this example is from a user who ran it locally. (from u/Better-Interview-793)show more

SeamlessExpressive, a new AI translation model by research teams... at Meta, enables high-quality speech translation that maintains the speaker's vocal style, tone and unique expressions in translated outputs. Try the demo with your own voice ➡️show more

Scientists have designed a framework that enables drones to... perform sophisticated and aerobatic flight maneuvers autonomously while avoiding obstacles. Learn more in Science Robotics:show more

I've been testing with an unreleased WIP LTX 2.3... LoRA by LDWorks and among other things it enables some of the best performance transfer I've seen so far. It has some ghosting issues, but for a one-shot generation with no masking or pose data it's pretty impressive!show more