RIP Ken Burns effect? Post camera moves will never... be the same. Convert and image or video into a 3D scene and animate a virtual camera to create a new move. Camera control by Moonvalleyshow more

Camera control in AI video is solved. Move your... phone → the camera moves in Blender → Higgsfield renders the shot. Your phone is now a virtual camera.show more

This tool is insane. Upload any image. Move camera... in 3D space. And get a completely new camera angle 🤯 Also it’s free! 👇show more

Super excited to announce our new work: Synthesizing Moving... People with 3D Control (3DHM)💡 Why is 3DHM unique? With 3D Control, 3DHM can animate a 𝗿𝗮𝗻𝗱𝗼𝗺 human photo with 𝗮𝗻𝘆 poses in a 𝟯𝟲𝟬-𝗱𝗲𝗴𝗿𝗲𝗲 camera view and 𝗮𝗻𝘆 camera azimuths from 𝗮𝗻𝘆 video!show more

I am blown away 🤯. Check this out! CameraCtrl... II: Dynamic Scene Exploration via Camera-controlled Video Diffusion Models TL;DR: "To enable broader exploration of dynamic scenes, our model can generate new video clips of the same scene based on previously generated content and user-provided camera trajectories. This approach maintains dynamic capabilities, accurate camera control, and scene consistency throughout the extended exploration." "Our model enables precise camera control across diverse scenarios while preserving dynamic scene elements, e.g." "Our method can generate videos with strong 3D consistency, which enables high-quality 3D reconstruction using the camera-controlled videos." Contributions: 1) A systematic data curation pipeline for constructing a dynamic video dataset with camera trajectory annotations; 2) A lightweight camera control injection module and corresponding training strategy that preserves dynamic video generation capabilities while adding camera control effect; 3) A clip-wise autoregressive generation recipe that enables extended range exploration of generated scenes.show more

Camera control is no longer in the prompt Meet... 3D Motion Control → Set the camera path in 3D → Your scene becomes the video reference the model follows → Same move, every take, exactly where you set it Available now in Magnificshow more

This is wild. Every filmmaker needs to try this... hybrid AI workflow for precision camera control: 1) Block out your camera in Blender to create a motion reference and animate the camera move 2) Generate your start frame in Midjourney to match the pose and composition 3) Feed both to Seedance It tracks the move almost exactly. This is the most powerful hybrid pipeline I've tried yet.show more

Seedance 2.0 Prompt Share Today's camera technique: Motivated Continuous... Camera Move A filmmaking technique frequently used by directors like Steven Spielberg, where the camera moves continuously and every shift in direction is motivated by action within the scene. Instead of cutting between shots, the camera naturally redirects its focus as new subjects enter the frame. You can find the prompt below 👇 Seedance 2.0 on @MartiniArt_show more

SAM 3D Body is open-source, so it can be... run locally or on Comfy Cloud. Extract motion from a recording → bring it into Blender → control the camera → use the result with Seedance 2.5 More control over body motion and camera movement. To try this workflows, links below 👇show more

I can't believe this actually works 🤯 I drew... a few random red arrows on an image. Seedance 2.0 on Higgsfield understood exactly how I wanted the camera to move. And turned it into a cinematic flythrough. No timeline. No camera controls. Just vibes and red scribbles. What a time to be a creator.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

Finally getting around to doing something marginally useful. Quickly... putting together a small video for some one. And testing new camera out. I like the camera! I will be making a full video on the tricorder projects SOOOON!show more

One of the Super Meat Boy 3D prototype levels.... Our first test with a fixed camera angle. No 45° angles and weird camera movement. Super motion-sickness inducing, hard to control…but it led us to the final camera setup.show more

Create a 3D model from a single image, set... of images or a text prompt in < 1 minute 😮‍💨 This new AI paper called CAT3D shows us that it’ll keep getting easier to produce 3D models from 2D images — whether it’s a sparser real world 3D scan (a few photos instead of hundreds) or your favorite 2D image generator like Midjourney (just an image). How does this magic work? “This architecture is similar to video diffusion models, but with camera pose embeddings for each image instead of time embeddings. The generated views are passed into a robust 3D reconstruction pipeline to create the 3D representation (Zip-NeRF or 3DGS)”show more

"I tried to do a cool move for the... e! shot but I was a little stoned and the camera moves fast and like an alien arm"show more

ViewCrafter can generate high-quality 3D views from single or... few images using a video diffusion model! It allows for precise camera control and is useful for real-time rendering and turning text into 3D scenes. Links ⬇️show more