SceneDreamer

--- license: other license_name: license license_link: LICENSE language: - en tags: - image-to-3d --- # SceneDreamer Model Card <!-- Provide a quick summary of what the model is/does. --> SceneDreamer learns to generate unbounded 3D scenes from in-the-wild 2D image collections. Our method can synthesize diverse landscapes across different styles, with 3D consistency, well-defined depth, and free camera trajectory. <tr> <img src="./teaser.gif" width="100%"/> </tr> ## Model Details ### Model Sources <!-- Provide the basic links for the model. --> - **Repository:** https://github.com/FrozenBurning/SceneDreamer - **Paper:** https://arxiv.org/abs/2302.01330 - **Demo:** https://huggingface.co/spaces/FrozenBurning/SceneDreamer ## Citation <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> **BibTeX:** ``` @ARTICLE {chen2023sd, author = {Z. Chen and G. Wang and Z. Liu}, journal = {IEEE Transactions on Pattern Analysis &amp; Machine Intelligence}, title = {SceneDreamer: Unbounded 3D Scene Generation From 2D Image Collections}, year = {2023}, volume = {45}, number = {12}, issn = {1939-3539}, pages = {15562-15576}, keywords = {three-dimensional displays;solid modeling;semantics;cameras;training;rendering (computer graphics);geometry}, doi = {10.1109/TPAMI.2023.3321857}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, month = {dec} } ``` ## Model Card Contact Zhaoxi Chen: [email protected]