[2308.14740] Total Selfie: Generating Full-Body Selfies
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. arXiv Operational Status Get status notifications via email or slack
View PDF HTML (experimental) Abstract:We present a method to generate full-body selfies from photographs originally taken at arms length. Because self-captured photos are typically taken close up, they have limited field of view and exaggerated perspective that distorts facial shapes. We instead seek to generate the photo some one else would take of you from a few feet away. Our approach takes as input four selfies of your face and body, a background image, and generates a full-body selfie in a desired target pose. We introduce a novel diffusion-based approach to combine all of this…
saved by
related reading
- Total Selfie: Generating Full-Body Selfiesarxiv.org
- One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusionarxiv.org
- Generative Image Dynamicsgenerative-dynamics.github.io
- Universal Guidance for Diffusion Modelsarxiv.org
- SOCIAL MEDIA TITLE TAGwuyinwei-hah.github.io
- A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondencesd-complements-dino.github.io
- openaccess.thecvf.com/content/ICCV2023/papers/Li_Your_Diffusion_Model_is_Secretly_a_Zero-Shot_Classifier_ICCV_2023_paper.pdfopenaccess.thecvf.com
- What are Diffusion Models?lilianweng.github.io
- Yang Songyang-song.net
- Fusing Diffusion Paths for Controlled Image Generationmultidiffusion.github.io
- Roc Cameraroc.camera
- GitHub - AmmarkoV/SAM3DBody-cpp: Real-time 3D full-body reconstruction from a single camera, Multiperson BVH output, Pure C++ runtime, ONNX + ggml, 70-joint skeleton with hands.github.com