mlsanityData to 14 Oct 2026

IntegratedPIFu: Integrated Pixel Aligned Implicit Function for Single-view Human Reconstruction

arXiv 2211.07955 ↗First posted 15 Nov 2022cs.CV cs.AIcited by 9

Not on the map. Why?

Abstract (arXiv)

We propose IntegratedPIFu, a new pixel aligned implicit model that builds on the foundation set by PIFuHD. IntegratedPIFu shows how depth and human parsing information can be predicted and capitalised upon in a pixel-aligned implicit model. In addition, IntegratedPIFu introduces depth oriented sampling, a novel training scheme that improve any pixel aligned implicit model ability to reconstruct important human features without noisy artefacts. Lastly, IntegratedPIFu presents a new architecture that, despite using less model parameters than PIFuHD, is able to improves the structural correctness of reconstructed meshes. Our results show that IntegratedPIFu significantly outperforms existing state of the arts methods on single view human reconstruction. Our code has been made available online.

Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). Builds on 28 of its 38 references that are in the map. First posted on arXiv 15 Nov 2022.

Builds on

28 of 38 references.

References · 28

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  2. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,713
  3. 2019DeepSDF: Learning Continuous Signed Distance Functions for Shape Representationcited by 2,689
  4. 2017High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANscited by 1,179
  5. 2016Stacked Hourglass Networks for Human Pose Estimationcited by 915
  6. 2017End-to-end Recovery of Human Shape and Posecited by 885
  7. 2019PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitizationcited by 818
  8. 2020Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humanscited by 634
  9. 2019Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loopcited by 627
  10. 2020PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitizationcited by 521
  11. 2019Convolutional Mesh Regression for Single-Image Human Shape Reconstructioncited by 270
  12. 2020ARCH: Animatable Reconstruction of Clothed Humanscited by 257
16 more
  1. 2021Function4D: Real-time Human Volumetric Capture from Very Sparse Consumer RGBD Sensorscited by 246
  2. 2019Multi-Garment Net: Learning to Dress 3D People from Imagescited by 245
  3. 2014Detect What You Can: Detecting and Representing Objects using Holistic Models and Body Partscited by 232
  4. 2019DeepHuman: 3D Human Reconstruction from a Single Imagecited by 182
  5. 2019Self-Correction for Human Parsingcited by 180
  6. 2021ARCH++: Animation-Ready Clothed Human Reconstruction Revisitedcited by 174
  7. 2019Learning to Reconstruct People in Clothing from a Single RGB Cameracited by 168
  8. 2019Tex2Shape: Detailed Full Human Body Geometry From a Single Imagecited by 166
  9. 2018Deep Appearance Models for Face Renderingcited by 164
  10. 2018BodyNet: Volumetric Inference of 3D Human Body Shapescited by 141
  11. 2020BCNet: Learning Body and Cloth Shape from A Single Imagecited by 120
  12. 2020Geo-PIFu: Geometry and Pixel Aligned Implicit Functions for Single-view Human Reconstructioncited by 112
  13. 2019DenseRaC: Joint 3D Pose and Shape Estimation by Dense Render-and-Comparecited by 100
  14. 2017Detailed, accurate, human shape estimation from clothed 3D scan sequencescited by 89
  15. 2018SiCloPe: Silhouette-Based Clothed Peoplecited by 68
  16. 2021StereoPIFu: Depth Aware Clothed Human Digitization via Stereo Visioncited by 38

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 1; 2023: 2; 2024: 5; 2025: 0; 2026: 1.

9 papers.