Bai et al., "Positional Encoding Field" Make your RoPE... encoding 3D by including a z axis, then manipulate your image by simply manipulating your positional encoding in 3D --> novel view synthesis. Neat idea.show more

✨ Live2D girl math ✨ If you add your... Angle X group as a positional output to your Tracking Z group... And your Angle Z group as a positional output to your Tracking X group... You get: A wiggly tanuki! 🦝☕ [#Live2D WIP]show more

Discover the right 3D Geometric Foundation Model for your... task—whether it’s stereo matching, multi-view depth estimation, video depth, pose estimation, semantic understanding, or novel view synthesis. Explore more insights in our #E3DBench #FoundationModel #3D #GaussianSplatting. Project Webpage:show more

[1/8] Drawing → 3D render with Gemini 2.0 image... generation… by Dev Valladares + me 👇🧵Make your own at the link belowshow more

3D generation now down to 30s (was 5+ minutes... before) using Z-Image T2I --> SAM-3D Image to 3D ⛏️show more

Meta's Segment Anything Model (SAM) can now run in... your browser w/ WebGPU (+ fp16), meaning up to 8x faster image encoding (10s → 1.25s)! 🤯⚡️ Video is not sped up! Everything runs 100% locally thanks to 🤗 Transformers.js and onnxruntime-web! 🔗 Demo:show more

one 2d photo --> 3d gaussian splat quick test... with Echo-2 by SpAItial -- these 3d scene generation models are getting better! already at a sufficient quality to serve as a virtual set / backdrop in your 3d tool of choiceshow more

🌐 N4E encoding exclusivity. decoding value. crafted for those... who move different. built for crypto natives by natives. because true luxury isn't just appearance - it's a mindset. precision in every stitch. rebellion in every thread. not for everyone.show more

Have you 3D printed your free Walrus yet? 🦭... This ain’t just a file. It’s a symbol of the open manufacturing movement. A FREE 3D-printed drop—powered by your clicks, backed by the 3DOS DePIN army. Claim yours now →show more

This is your sign to make a 3d animations Tiktok

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

🎶Time to start NeRFing audio. Introducing NVAS3D for novel... acoustic synthesis in 3D scenes. Watch with AirPods. arxiv: code:show more

Combining the explicit control of 3D software with the... creativity of generative AI models is a promising yet underrated workflow. Build your 3D scenes procedurally by describing them in natural language, then take them all the way with your image & video models of choice. Tools like intangible are built around such a workflow so you don't need to duct-tape apps together. Pretty cool!show more

The way you get 3D shoulders is by developing... your side and rear delts, not your front delts!show more

Introduction to Positional Play | Concept 1⃣1⃣ - Through... Circulation and Penetration, the Team Travels up the Field Together. Session Idea - Animations ⬇️show more

> become educated women by dad money > make... your mom divorce you dad > make your mom marry another man, replacing your dad. OVARI DAshow more

Check out MultiDiff #CVPR2024! From a single RGB image,... MultiDiff enables scene-level novel view synthesis with free camera control. Great work by @normanisation Katja Schwarz Barbara Roessle, L Porzi, S Rota Bulò, P Kontschiedershow more

Fun & likely unintended use case for #NanoBananaPro: image→3D... point cloud Prompt: This is a rendering of a 3D model of a person. Make an accurate image of the corresponding normal map. Then I run Poisson-based normals→3D Pretty amazing for a general-purpose 2D image model 🤩show more

Imagine: Parallel Neural Networks with Shaders 🤔 (GLSL instead... of CUDA) Parallelization by encoding the weights and activations as Buffer Objects or Textures, using fs to perform matmul and activation functions in parallel. Each fragm shader instance parproc 1..n neuron.show more

Create Beautiful 3D in Seconds on Vision Pro. Introducing... a new way to create playful 3D models on your Apple Vision Pro, generated by voice or text. Available now in Beta. Link in beautiful things bio.show more