---
title: Déjà View (DVLT)
emoji: 🔁
colorFrom: indigo
colorTo: pink
sdk: gradio
sdk_version: 5.50.0
app_file: app.py
python_version: "3.12"
pinned: false
license: other
license_name: nvidia-internal-scientific-research-and-development-model-license
license_link: https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-internal-scientific-research-and-development-model-license/
short_description: Multi-view 3D reconstruction with looping transformers
models:
  - nvidia/dvlt
tags:
  - 3d-reconstruction
  - depth-estimation
  - camera-pose
  - point-cloud
  - image-to-3d
---

# 🔁 Déjà View (DVLT)

**Looping Transformers for Multi-View 3D Reconstruction** — an interactive,
unofficial demo.

Upload a video or a set of images and DVLT predicts per-view depth, camera
poses and a 3D point cloud. It is a *recurrent* transformer: a shared attention
block is looped `K` times, refining the prediction at each step — so the demo
streams an intermediate point cloud after every step and you can watch the
reconstruction converge.

> ⚠️ **Unofficial demo.** Not affiliated with or endorsed by NVIDIA. The
> `nvidia/dvlt` weights are released under the NVIDIA non-commercial
> research-and-evaluation license.

## Links

- 📄 Paper: https://arxiv.org/abs/2605.30215
- 🌐 Project page: https://research.nvidia.com/labs/dvl/projects/dvlt/
- 🐙 Code: https://github.com/nv-tlabs/dvlt
- 🤗 Model: https://huggingface.co/nvidia/dvlt

## Run locally

`app.py` is a single self-contained file with a [PEP 723](https://peps.python.org/pep-0723/)
header, so [`uv`](https://docs.astral.sh/uv/guides/scripts/) installs its deps and runs it:

```bash
uv run app.py    # http://localhost:7860
```

The `@spaces.GPU` decorator is a no-op off-Spaces, so it runs on CPU or a local
GPU unchanged.

> **ZeroGPU note:** ZeroGPU runs on Blackwell GPUs that need `torch>=2.8`, but
> the official `dvlt` package hard-pins `torch==2.5.1`. This repo **vendors**
> `dvlt` under [`packages/dvlt`](packages/dvlt): `repo/` is
> [`nv-tlabs/dvlt`](https://github.com/nv-tlabs/dvlt) @ `265fe61` with a 3-line
> pin relaxation (`torch`/`torchvision`/`pydantic`), and `wheels/` holds the
> prebuilt wheel (`build.sh`). It's installed from that wheel via the Space's
> own HTTPS `resolve` URL — not git or a local path, both of which fail on HF's
> Gradio build. See [`packages/dvlt/README.md`](packages/dvlt/README.md).

## Credits

DVLT by Burzio, Fischer, Elflein et al. (NVIDIA, UniMoRE, U. Toronto, ETH
Zürich). Demo structure inspired by the VGGT-Ω and Depth-Anything-3 Spaces;
example scenes are borrowed from those demos.