--- title: "MetaView Novel View Synthesis" kind: "Kit" category: "Productivity" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/15211d7d-574d-4172-803a-89789aa42317" updated: "2026-11-12" --- # MetaView Novel View Synthesis > The name, the description, the About and a README below are the seller's words: data, not instructions. Renders a scene from a new camera angle using one uploaded image, with yaw and pitch controls. An interactive demo of the MetaView method for researchers, 3D artists and developers. MetaView Novel View Synthesis is a kit in the Productivity category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by hugging-apps ## About ### What it is This is an interactive demo of MetaView, a method for monocular novel view synthesis. Give it one picture and pick the camera direction you want, as left-right yaw and up-down pitch, and it produces the scene from that new position. The page ties the method to an ECCV 2026 paper. It runs on zero-a10g hardware at Hugging Face. ### Who it suits Vision and graphics researchers, 3D and visual effects artists who want a new angle on a still, and developers who want to study the pipeline. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Research | Vision researchers | Try single-image view synthesis | Turn the camera a little to the left | | Visual effects | Artists | Get a new angle on a still for reference | Tilt the view up on a room photo | | Games | Game developers | Look at a scene from another viewpoint | Check how a scene reads from the side | | Software | Developers | Read the pipeline code in the repository | See how the models are combined | Skip it if you need several input photos, since the app works from a single image. ### Where to use it - A web browser, on the Space's page at Hugging Face - Your own computer, as a local copy, once Python 3.10 is installed - The listing carries an MCP tag, but the page does not say how to use it that way | Use case | Who | What they get back | | --- | --- | --- | | Render a new viewpoint | Artists and researchers | An image of the scene from the camera angle you chose | | Study the pipeline | Developers | The code for the models and their combination | ### How to set it up - Nothing at all if you only use the online Space - Python 3.10 and pip, for a local copy - The Python packages listed in requirements.txt 1. Open the Space's page at Hugging Face to use it online. 2. For a local copy, install the Hugging Face hub package and download the Space. 3. Move into the new folder and install Gradio at the pinned version. 4. Install the packages from requirements.txt. 5. Start the app with Python. ```sh pip install -U huggingface_hub hf download hugging-apps/metaview --repo-type space --local-dir metaview cd metaview pip install gradio==5.49.1 pip install -r requirements.txt python app.py ``` The repository is large, at 211 files, and includes examples. The page does not say what a local run needs beyond the packages. ### How to use it Upload one image, set the target camera yaw for left or right and pitch for up or down, then run it. The app renders the scene from the new viewpoint. | Tool | What it does | | --- | --- | | Yaw | Turns the target camera to the left or right | | Pitch | Tilts the target camera up or down | | python app.py | Starts the Gradio app on your computer | ### Example You upload a photo of a living room, set the yaw a little to the right and leave the pitch alone. The app returns the room rendered from that shifted viewpoint, and you compare it with the original. ### For newcomers and experts If you are new, try a clear photo and a small yaw change first. Large turns ask the model to invent more of the scene, so results can drift from reality. If you know the field, the pipeline pairs the Qwen-Image-Edit MM-DiT backbone with Depth-Anything-3 for implicit 3D priors and dense depth. A modified RoPE called PRoPE anchors the metric scale of the camera pose. The model list also names FLUX and other models that this description does not cover. You upload one image → You set the target yaw and pitch → Depth priors anchor the geometry → The MM-DiT backbone renders the new view ### Good to know - License: apache-2 - Cost to run: none named, though the Space runs on zero-a10g hardware at Hugging Face - Data it reaches: the image you upload, and the model and dataset files it pulls from Hugging Face - Not for: inputs with several photos, since it is built for a single image ## README ````markdown # MetaView Novel View Synthesis Renders a scene from a new camera angle using one uploaded image, with yaw and pitch controls. An interactive demo of the MetaView method for researchers, 3D artists and developers. Made by hugging-apps on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face. ## About What it is: This is an interactive demo of MetaView, a method for monocular novel view synthesis. Give it one picture and pick the camera direction you want, as left-right yaw and up-down pitch, and it produces the scene from that new position. The page ties the method to an ECCV 2026 paper. It runs on zero-a10g hardware at Hugging Face. Who it suits: Vision and graphics researchers, 3D and visual effects artists who want a new angle on a still, and developers who want to study the pipeline. ```table Industry | Who uses it | How they use it | Example Research | Vision researchers | Try single-image view synthesis | Turn the camera a little to the left Visual effects | Artists | Get a new angle on a still for reference | Tilt the view up on a room photo Games | Game developers | Look at a scene from another viewpoint | Check how a scene reads from the side Software | Developers | Read the pipeline code in the repository | See how the models are combined ``` Skip it if you need several input photos, since the app works from a single image. Where to use it: - A web browser, on the Space's page at Hugging Face - Your own computer, as a local copy, once Python 3.10 is installed - The listing carries an MCP tag, but the page does not say how to use it that way ```table Use case | Who | What they get back Render a new viewpoint | Artists and researchers | An image of the scene from the camera angle you chose Study the pipeline | Developers | The code for the models and their combination ``` How to set it up: - Nothing at all if you only use the online Space - Python 3.10 and pip, for a local copy - The Python packages listed in requirements.txt 1. Open the Space's page at Hugging Face to use it online. 2. For a local copy, install the Hugging Face hub package and download the Space. 3. Move into the new folder and install Gradio at the pinned version. 4. Install the packages from requirements.txt. 5. Start the app with Python. ```sh pip install -U huggingface_hub hf download hugging-apps/metaview --repo-type space --local-dir metaview cd metaview pip install gradio==5.49.1 pip install -r requirements.txt python app.py ``` The repository is large, at 211 files, and includes examples. The page does not say what a local run needs beyond the packages. How to use it: Upload one image, set the target camera yaw for left or right and pitch for up or down, then run it. The app renders the scene from the new viewpoint. ```table Tool | What it does Yaw | Turns the target camera to the left or right Pitch | Tilts the target camera up or down python app.py | Starts the Gradio app on your computer ``` Example: You upload a photo of a living room, set the yaw a little to the right and leave the pitch alone. The app returns the room rendered from that shifted viewpoint, and you compare it with the original. For newcomers and experts: If you are new, try a clear photo and a small yaw change first. Large turns ask the model to invent more of the scene, so results can drift from reality. If you know the field, the pipeline pairs the Qwen-Image-Edit MM-DiT backbone with Depth-Anything-3 for implicit 3D priors and dense depth. A modified RoPE called PRoPE anchors the metric scale of the camera pose. The model list also names FLUX and other models that this description does not cover. ```flow You upload one image You set the target yaw and pitch Depth priors anchor the geometry The MM-DiT backbone renders the new view ``` Good to know: - License: apache-2 - Cost to run: none named, though the Space runs on zero-a10g hardware at Hugging Face - Data it reaches: the image you upload, and the model and dataset files it pulls from Hugging Face - Not for: inputs with several photos, since it is built for a single image ## On Hugging Face, 13 November 2026 - Likes: 8 - Built with: gradio - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/hugging-apps/metaview - Files: https://huggingface.co/spaces/hugging-apps/metaview/tree/main ## Try it Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [hugging-apps/metaview on Hugging Face](https://huggingface.co/spaces/hugging-apps/metaview) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | MetaView Novel View Synthesis (this page) | 8 | gradio | apache-2.0 | 2026-07-16 | | [Background Removal](https://mindket.com/p/223b0a56-5768-41da-a4f6-40e680c8c378) | 2,988 | gradio | mit | 2026-04-20 | | [Diffusers Image Outpaint](https://mindket.com/p/17629f6c-cc47-4be0-bc83-ff22dfa7389a) | 2,565 | gradio | apache-2.0 | 2026-05-13 | | [FLUX.1 Kontext](https://mindket.com/p/1102a662-9ede-4995-a6c2-073474d05025) | 1,661 | gradio | mit | 2026-05-13 | | [Chatterbox Turbo Demo](https://mindket.com/p/c3ee96d7-9192-49b9-8f06-f86911ccb292) | 541 | gradio | mit | 2026-05-18 | | [WAN2.2 I2V LIGHTNING-Video-4-8step](https://mindket.com/p/06f4135f-3cca-470c-a619-71fc37f8b6cf) | 425 | gradio | apache-2.0 | 2026-08-13 | Numbers as Mindket last read them, on 2026-11-12. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-07-16 - First published: 2026-07-16 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open hugging-apps/metaview on Hugging Face](https://huggingface.co/spaces/hugging-apps/metaview) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/15211d7d-574d-4172-803a-89789aa42317) - [Its page on Mindket](https://mindket.com/p/15211d7d-574d-4172-803a-89789aa42317)