Total Selfie: Generating Full-Body Selfies
Not on the map. Why?
Abstract (arXiv)
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 information into high-quality, well-composed photos of you with the desired pose and background.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 64 of its 94 references that are in the map. First posted on arXiv 28 Aug 2023.
Builds on
64 of 94 references.
References · 64
- 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
- 2020Denoising Diffusion Probabilistic Modelscited by 20,851
- 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
- 2020Denoising Diffusion Implicit Modelscited by 9,655
- 2021Diffusion Models Beat GANs on Image Synthesiscited by 8,185
- 2022Photorealistic Text-to-Image Diffusion Models with Deep Language Understandingcited by 6,322
- 2018A Style-Based Generator Architecture for Generative Adversarial Networkscited by 5,986
- 2023Adding Conditional Control to Text-to-Image Diffusion Modelscited by 5,466
- 2022DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generationcited by 3,286
- 2016Perceptual Losses for Real-Time Style Transfer and Super-Resolutioncited by 2,678
- 2021SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equationscited by 1,903
- 2019Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfercited by 1,484
38 more
- 2021Efficient Geometry-aware 3D Generative Adversarial Networkscited by 1,204
- 2020Nerfies: Deformable Neural Radiance Fieldscited by 1,194
- 2016Realtime Multi-Person 2D Pose Estimation using Part Affinity Fieldscited by 1,061
- 2022Diffusion Models in Vision: A Surveycited by 1,008
- 2022Pseudo Numerical Methods for Diffusion Models on Manifoldscited by 695
- 2023ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depthcited by 646
- 2022Paint by Example: Exemplar-based Image Editing with Diffusion Modelscited by 489
- 2015A Neural Algorithm of Artistic Stylecited by 480
- 2020One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencingcited by 438
- 2023SVDiff: Compact Parameter Space for Diffusion Fine-Tuningcited by 338
- 2021VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalizationcited by 287
- 2017Pose Guided Person Image Generationcited by 251
- 2022Towards Robust Blind Face Restoration with Codebook Lookup Transformercited by 230
- 2022ECON: Explicit Clothed humans Optimized via Normal integrationcited by 199
- 2023MiDaS v3.1 -- A Model Zoo for Robust Monocular Relative Depth Estimationcited by 173
- 2023DreamPose: Fashion Image-to-Video Synthesis via Stable Diffusioncited by 167
- 2023LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-Oncited by 151
- 2020Controllable Person Image Synthesis with Attribute-Decomposed GANcited by 150
- 2022StyleGAN-Human: A Data-Centric Odyssey of Human Generationcited by 143
- 2023TryOnDiffusion: A Tale of Two UNetscited by 141
- 2022High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditionscited by 129
- 2023GP-VTON: Towards General Purpose Virtual Try-on via Collaborative Local-Flow Global-Parsing Learningcited by 120
- 2022Person Image Synthesis via Denoising Diffusion Modelcited by 104
- 2022Style-Based Global Appearance Flow for Virtual Try-Oncited by 88
- 2021CoNeRF: Controllable Neural Radiance Fieldscited by 65
- 2022Neural Texture Extraction and Distribution for Controllable Person Image Synthesiscited by 55
- 2021Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit Editingcited by 54
- 2022DALLE-2 is Seeing Double: Flaws in Word-to-Concept Mapping in Text2Image Modelscited by 50
- 2022Accurate 3D Body Shape Regression using Metric and Semantic Attributescited by 49
- 2022InsetGAN for Full-Body Image Generationcited by 45
- 2022Cross Attention Based Style Distribution for Controllable Person Image Synthesiscited by 45
- 2021Learning Semantic Person Image Generation by Region-Adaptive Normalizationcited by 44
- 2020Deep Spatial Transformation for Pose-Guided Person Image Generation and Animationcited by 43
- 2021FLAME-in-NeRF : Neural control of Radiance Fields for Free View Face Animationcited by 33
- 2019Appearance and Pose-Conditioned Human Image Generation using Deformable GANscited by 24
- 2023Deep Learning Technique for Human Parsing: A Survey and Outlookcited by 18
- 20223DHumanGAN: 3D-Aware Human Image Generation with 3D Pose Mappingcited by 17
- 2021Learning Realistic Human Reposing using Cyclic Self-Supervision with 3D Shape, Pose, and Appearance Consistencycited by 15
50 most cited of 64 All 64 (JSON)
Built on by
Citing papers per year: 2024: 3; 2025: 2.
5 papers.
- 2024PuzzleAvatar: Assembling 3D Avatars from Personal Albumscited by 16
- 2025UP2You: Fast Reconstruction of Yourself from Unconstrained Photo Collectionscited by 10
- 2024Inverse Painting: Reconstructing The Painting Processcited by 6
- 2024An End-to-End Depth-Based Pipeline for Selfie Image Rectificationcited by 0
- 2025Generating Fit Check Videos with a Handheld Cameracited by 0
- 2025UP2You: Fast Reconstruction of Yourself from Unconstrained Photo Collections29 Sep 2025
- 2025Generating Fit Check Videos with a Handheld Camera29 May 2025
- 2024An End-to-End Depth-Based Pipeline for Selfie Image Rectification26 Dec 2024
- 2024Inverse Painting: Reconstructing The Painting Process30 Sep 2024
- 2024PuzzleAvatar: Assembling 3D Avatars from Personal Albums23 May 2024