Video-to-4D
Free video-to-4D AI tools for transforming 2D videos into immersive 3D experiences, ideal for game design, animation, and interactive media.
CAT4D can create dynamic 4D scenes from single videos. It uses a multi-view video diffusion model to generate videos from different angles, allowing for strong 4D reconstruction and high-quality images.
MonST3R can estimate 3D shapes from videos over time, creating a dynamic point cloud and tracking camera positions. This method improves video depth estimation and separates moving from still objects more effectively than previous techniques.
SV4D can generate dynamic 3D content from a single video. It ensures that the new views are consistent across multiple frames and achieves high-quality results in video synthesis.
Video2Game can turn real-world videos into interactive game environments. It uses a neural radiance fields (NeRF) module for capturing scenes, a mesh module for faster rendering, and a physics module for realistic object interactions.
DreamGaussian4D can generate animated 3D meshes from a single image. The method is able to generate diverse motions for the same static model and do that in 4.5 minutes instead of several hours compared to other methods.
Consistent4D is an approach for generating 4D dynamic objects from uncalibrated monocular videos. With the speed we’re progressing, it looks like dynamic 3D scenes from single-cam videos will be here sooner than I’ve expected the last few weeks.