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Related papers: COMPOSE: Comprehensive Portrait Shadow Editing

200 papers

Casually-taken portrait photographs often suffer from unflattering lighting and shadowing because of suboptimal conditions in the environment. Aesthetic qualities such as the position and softness of shadows and the lighting ratio between…

Computer Vision and Pattern Recognition · Computer Science 2020-05-21 Xuaner Cecilia Zhang , Jonathan T. Barron , Yun-Ta Tsai , Rohit Pandey , Xiuming Zhang , Ren Ng , David E. Jacobs

Existing face relighting methods often struggle with two problems: maintaining the local facial details of the subject and accurately removing and synthesizing shadows in the relit image, especially hard shadows. We propose a novel deep…

Computer Vision and Pattern Recognition · Computer Science 2021-06-08 Andrew Hou , Ze Zhang , Michel Sarkis , Ning Bi , Yiying Tong , Xiaoming Liu

We introduce light diffusion, a novel method to improve lighting in portraits, softening harsh shadows and specular highlights while preserving overall scene illumination. Inspired by professional photographers' diffusers and scrims, our…

Computer Vision and Pattern Recognition · Computer Science 2023-05-09 David Futschik , Kelvin Ritland , James Vecore , Sean Fanello , Sergio Orts-Escolano , Brian Curless , Daniel Sýkora , Rohit Pandey

Most face relighting methods are able to handle diffuse shadows, but struggle to handle hard shadows, such as those cast by the nose. Methods that propose techniques for handling hard shadows often do not produce geometrically consistent…

Computer Vision and Pattern Recognition · Computer Science 2022-04-01 Andrew Hou , Michel Sarkis , Ning Bi , Yiying Tong , Xiaoming Liu

We introduce a high-fidelity portrait shadow removal model that can effectively enhance the image of a portrait by predicting its appearance under disturbing shadows and highlights. Portrait shadow removal is a highly ill-posed problem…

Computer Vision and Pattern Recognition · Computer Science 2024-10-10 Jae Shin Yoon , Zhixin Shu , Mengwei Ren , Xuaner Zhang , Yannick Hold-Geoffroy , Krishna Kumar Singh , He Zhang

Face reenactment and portrait relighting are essential tasks in portrait editing, yet they are typically addressed independently, without much synergy. Most face reenactment methods prioritize motion control and multiview consistency, while…

Computer Vision and Pattern Recognition · Computer Science 2025-05-28 Yizhou Zhao , Chunjiang Liu , Haoyu Chen , Bhiksha Raj , Min Xu , Tadas Baltrusaitis , Mitch Rundle , HsiangTao Wu , Kamran Ghasedi

We present a lighting-aware image editing pipeline that, given a portrait image and a text prompt, performs single image relighting. Our model modifies the lighting and color of both the foreground and background to align with the provided…

Computer Vision and Pattern Recognition · Computer Science 2024-12-19 Junuk Cha , Mengwei Ren , Krishna Kumar Singh , He Zhang , Yannick Hold-Geoffroy , Seunghyun Yoon , HyunJoon Jung , Jae Shin Yoon , Seungryul Baek

2D face analysis techniques, such as face landmarking, face recognition and face verification, are reasonably dependent on illumination conditions which are usually uncontrolled and unpredictable in the real world. An illumination robust…

Computer Vision and Pattern Recognition · Computer Science 2017-10-17 Wuming Zhang , Xi Zhao , Jean-Marie Morvan , Liming Chen

Shadows are often under-considered or even ignored in image editing applications, limiting the realism of the edited results. In this paper, we introduce MetaShadow, a three-in-one versatile framework that enables detection, removal, and…

Computer Vision and Pattern Recognition · Computer Science 2024-12-04 Tianyu Wang , Jianming Zhang , Haitian Zheng , Zhihong Ding , Scott Cohen , Zhe Lin , Wei Xiong , Chi-Wing Fu , Luis Figueroa , Soo Ye Kim

Creating and editing high-quality 3D content remains a central challenge in computer graphics. We address this challenge by introducing CompoSE, a novel method for Compositional Synthesis and Editing of 3D shapes via part-aware control. Our…

Graphics · Computer Science 2026-05-20 Habib Slim , Shariq Farooq Bhat , Mohamed Elhoseiny , Yifan Wang , Mike Roberts

Portrait images often suffer from undesirable shadows cast by casual objects or even the face itself. While existing methods for portrait shadow removal require training on a large-scale synthetic dataset, we propose the first unsupervised…

Computer Vision and Pattern Recognition · Computer Science 2021-08-10 Yingqing He , Yazhou Xing , Tianjia Zhang , Qifeng Chen

Facial expression editing has attracted increasing attention with the advance of deep neural networks in recent years. However, most existing methods suffer from compromised editing fidelity and limited usability as they either ignore pose…

Computer Vision and Pattern Recognition · Computer Science 2023-04-19 Rongliang Wu , Yingchen Yu , Fangneng Zhan , Jiahui Zhang , Shengcai Liao , Shijian Lu

We present a diffusion-based portrait shadow removal approach that can robustly produce high-fidelity results. Unlike previous methods, we cast shadow removal as diffusion-based inpainting. To this end, we first train a shadow-independent…

Computer Vision and Pattern Recognition · Computer Science 2025-07-15 Wanchang Yu , Qing Zhang , Rongjia Zheng , Wei-Shi Zheng

Shadow removal is still a challenging task due to its inherent background-dependent and spatial-variant properties, leading to unknown and diverse shadow patterns. Even powerful state-of-the-art deep neural networks could hardly recover…

Computer Vision and Pattern Recognition · Computer Science 2021-04-13 Lan Fu , Changqing Zhou , Qing Guo , Felix Juefei-Xu , Hongkai Yu , Wei Feng , Yang Liu , Song Wang

Portrait harmonization aims to composite a subject into a new background, adjusting its lighting and color to ensure harmony with the background scene. Existing harmonization techniques often only focus on adjusting the global color and…

Computer Vision and Pattern Recognition · Computer Science 2024-04-09 Mengwei Ren , Wei Xiong , Jae Shin Yoon , Zhixin Shu , Jianming Zhang , HyunJoon Jung , Guido Gerig , He Zhang

Shadows can originate from occlusions in both direct and indirect illumination. Although most current shadow removal research focuses on shadows caused by direct illumination, shadows from indirect illumination are often just as pervasive,…

Computer Vision and Pattern Recognition · Computer Science 2025-02-12 Jiamin Xu , Zelong Li , Yuxin Zheng , Chenyu Huang , Renshu Gu , Weiwei Xu , Gang Xu

Text-to-image diffusion models excel at generating diverse portraits, but lack intuitive shadow control. Existing editing approaches, as post-processing, struggle to offer effective manipulation across diverse styles. Additionally, these…

Computer Vision and Pattern Recognition · Computer Science 2025-04-08 Haoming Cai , Tsung-Wei Huang , Shiv Gehlot , Brandon Y. Feng , Sachin Shah , Guan-Ming Su , Christopher Metzler

Shadows often create unwanted artifacts in photographs, and removing them can be very challenging. Previous shadow removal methods often produce de-shadowed regions that are visually inconsistent with the rest of the image. In this work we…

Computer Vision and Pattern Recognition · Computer Science 2016-03-22 Liqian Ma , Jue Wang , Eli Shechtman , Kalyan Sunkavalli , Shimin Hu

Image composition targets at inserting a foreground object into a background image. Most previous image composition methods focus on adjusting the foreground to make it compatible with background while ignoring the shadow effect of…

Computer Vision and Pattern Recognition · Computer Science 2022-05-12 Yan Hong , Li Niu , Jianfu Zhang , Liqing Zhang

Outdoor scene relighting is a challenging problem that requires good understanding of the scene geometry, illumination and albedo. Current techniques are completely supervised, requiring high quality synthetic renderings to train a…

Computer Vision and Pattern Recognition · Computer Science 2021-07-08 Ye Yu , Abhimitra Meka , Mohamed Elgharib , Hans-Peter Seidel , Christian Theobalt , William A. P. Smith
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