# ForeverFancy/GVFDiffusion

<https://repo.masters-masters.com/en/repos/ForeverFancy/GVFDiffusion>

[Home](https://repo.masters-masters.com/en) › [ForeverFancy](https://repo.masters-masters.com/en/owners/ForeverFancy) › [GVFDiffusion](https://repo.masters-masters.com/en/repos/ForeverFancy/GVFDiffusion)

ForeverFancy/GVFDiffusion has 117 stars on GitHub. Its RepoMasters card: Prototype tier. \[ICCV 2025\] Gaussian Variation Field Diffusion for High-fidelity…

| Field | Value |
| --- | --- |
| Owner | [ForeverFancy](https://repo.masters-masters.com/en/owners/ForeverFancy) |
| Stars | 117 |
| Forks | 7 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2025 |
| Topics | 4d, diffusion-models, generative-model |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [ForeverFancy/GVFDiffusion](https://github.com/ForeverFancy/GVFDiffusion) |

## Repository

\[ICCV 2025\] Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

## Nearby in Jupyter Notebook

- [MrMoshkovitz/gandalf-llm-pentester · ★ 117 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/MrMoshkovitz/gandalf-llm-pentester)
- [deep-learning-with-pytorch/dlwpt-code-2e · ★ 117 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/deep-learning-with-pytorch/dlwpt-code-2e)
- [visgym/VisGym · ★ 117 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/visgym/VisGym)
- [gwulfs/bostonml · ★ 117 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/gwulfs/bostonml)
- [agilescientific/xlines · ★ 117 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/agilescientific/xlines)
- [distant-viewing/dvt · ★ 117 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/distant-viewing/dvt)

---
Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
