ForeverFancy/GVFDiffusion
[ICCV 2025] Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis
This project helps 3D artists, game developers, or animators create realistic, dynamic 3D models from a single video. You input a video showing an object in motion, and it outputs a high-fidelity, animated 3D model (4D content) that captures its shape, appearance, and movement over time. It's designed for professionals who need to quickly generate detailed animated 3D assets.
115 stars.
Use this if you need to transform a video of a real-world object into a high-quality, animatable 3D model for creative projects or simulations.
Not ideal if you're looking for a simple, one-click solution for casual users or do not have access to powerful computing resources for 3D generation.
Stars
115
Forks
6
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Nov 03, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/ForeverFancy/GVFDiffusion"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
jayin92/Skyfall-GS
Skyfall-GS: Synthesizing Immersive 3D Urban Scenes from Satellite Imagery
Tencent-Hunyuan/Hunyuan3D-2
High-Resolution 3D Assets Generation with Large Scale Hunyuan3D Diffusion Models.
ActiveVisionLab/gaussctrl
[ECCV 2024] GaussCtrl: Multi-View Consistent Text-Driven 3D Gaussian Splatting Editing
caiyuanhao1998/Open-DiffusionGS
Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D...
deepseek-ai/DreamCraft3D
[ICLR 2024] Official implementation of DreamCraft3D: Hierarchical 3D Generation with...