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Fast generation of high-quality 3D digital humans is important to a vast number of applications ranging from entertainment to professional concerns. Recent advances in differentiable rendering have enabled the training of 3D generative…

Computer Vision and Pattern Recognition · Computer Science 2023-07-25 Zhangyang Xiong , Di Kang , Derong Jin , Weikai Chen , Linchao Bao , Shuguang Cui , Xiaoguang Han

We present BlenderFusion, a generative visual compositing framework that synthesizes new scenes by recomposing objects, camera, and background. It follows a layering-editing-compositing pipeline: (i) segmenting and converting visual inputs…

Computer Vision and Pattern Recognition · Computer Science 2025-09-03 Jiacheng Chen , Ramin Mehran , Xuhui Jia , Saining Xie , Sanghyun Woo

Existing methods for image-to-3D avatar generation struggle to produce highly detailed, animation-ready avatars suitable for real-world applications. We introduce AdaHuman, a novel framework that generates high-fidelity animatable 3D…

Computer Vision and Pattern Recognition · Computer Science 2025-06-02 Yangyi Huang , Ye Yuan , Xueting Li , Jan Kautz , Umar Iqbal

We concentrate on a novel human-centric image synthesis task, that is, given only one reference facial photograph, it is expected to generate specific individual images with diverse head positions, poses, facial expressions, and…

Computer Vision and Pattern Recognition · Computer Science 2024-05-20 Chao Liang , Fan Ma , Linchao Zhu , Yingying Deng , Yi Yang

3D-consistent image generation from a single 2D semantic label is an important and challenging research topic in computer graphics and computer vision. Although some related works have made great progress in this field, most of the existing…

Computer Vision and Pattern Recognition · Computer Science 2024-03-12 Bo Li , Yi-ke Li , Zhi-fen He , Bin Liu , Yun-Kun Lai

Personalized generative recommender systems have emerged as a promising solution for fashion recommendation. However, existing methods primarily rely on implicit visual embeddings from historical interactions, which often contain…

Information Retrieval · Computer Science 2026-05-19 Mingzhe Yu , Lei Wu , Qianru Sun , Yunshan Ma

As humans, we aspire to create media content that is both freely willed and readily controlled. Thanks to the prominent development of generative techniques, we now can easily utilize 2D diffusion methods to synthesize images controlled by…

Graphics · Computer Science 2024-05-15 Wenqi Dong , Bangbang Yang , Lin Ma , Xiao Liu , Liyuan Cui , Hujun Bao , Yuewen Ma , Zhaopeng Cui

3D scene generation plays a crucial role in gaming, artistic creation, virtual reality, and many other domains. However, current 3D scene design still relies heavily on extensive manual effort from creators, and existing automated methods…

Computer Vision and Pattern Recognition · Computer Science 2025-12-22 Zixuan Bian , Ruohan Ren , Yue Yang , Chris Callison-Burch

Object manipulation in images aims to not only edit the object's presentation but also gift objects with motion. Previous methods encountered challenges in concurrently handling static editing and dynamic generation, while also struggling…

Computer Vision and Pattern Recognition · Computer Science 2025-01-23 Ruisi Zhao , Zechuan Zhang , Zongxin Yang , Yi Yang

Constructing a physically realistic and accurately scaled simulated 3D world is crucial for the training and evaluation of embodied intelligence tasks. The diversity, realism, low cost accessibility and affordability of 3D data assets are…

Robotics · Computer Science 2025-06-17 Xinjie Wang , Liu Liu , Yu Cao , Ruiqi Wu , Wenkang Qin , Dehui Wang , Wei Sui , Zhizhong Su

Recently, emotional talking face generation has received considerable attention. However, existing methods only adopt one-hot coding, image, or audio as emotion conditions, thus lacking flexible control in practical applications and failing…

Computer Vision and Pattern Recognition · Computer Science 2023-06-01 Chao Xu , Junwei Zhu , Jiangning Zhang , Yue Han , Wenqing Chu , Ying Tai , Chengjie Wang , Zhifeng Xie , Yong Liu

Existing 3D-aware facial generation methods face a dilemma in quality versus editability: they either generate editable results in low resolution or high-quality ones with no editing flexibility. In this work, we propose a new approach that…

Computer Vision and Pattern Recognition · Computer Science 2022-06-01 Jingxiang Sun , Xuan Wang , Yichun Shi , Lizhen Wang , Jue Wang , Yebin Liu

Clothes undergo complex geometric deformations, which lead to appearance changes. To edit human videos in a physically plausible way, a texture map must take into account not only the garment transformation induced by the body movements and…

Computer Vision and Pattern Recognition · Computer Science 2023-03-14 Yasamin Jafarian , Tuanfeng Y. Wang , Duygu Ceylan , Jimei Yang , Nathan Carr , Yi Zhou , Hyun Soo Park

The development of increasingly realistic experimental stimuli and task environments is important for understanding behavior outside the laboratory. We report a process for generating 3D human model stimuli that combines commonly used…

Neurons and Cognition · Quantitative Biology 2016-06-17 Jean M. Vettel , Justin Kantner , Matthew Jaswa , Michael Miller

We present the first image-based generative model of people in clothing for the full body. We sidestep the commonly used complex graphics rendering pipeline and the need for high-quality 3D scans of dressed people. Instead, we learn…

Computer Vision and Pattern Recognition · Computer Science 2017-08-01 Christoph Lassner , Gerard Pons-Moll , Peter V. Gehler

Humans can infer the three-dimensional structure of objects from two-dimensional visual inputs. Modeling this ability has been a longstanding goal for the science and engineering of visual intelligence, yet decades of computational methods…

Computer Vision and Pattern Recognition · Computer Science 2026-04-01 Tyler Bonnen , Jitendra Malik , Angjoo Kanazawa

Recent advancements in instruction-based image editing and subject-driven generation have garnered significant attention, yet both tasks still face limitations in meeting practical user needs. Instruction-based editing relies solely on…

Computer Vision and Pattern Recognition · Computer Science 2025-10-09 Bin Xia , Bohao Peng , Yuechen Zhang , Junjia Huang , Jiyang Liu , Jingyao Li , Haoru Tan , Sitong Wu , Chengyao Wang , Yitong Wang , Xinglong Wu , Bei Yu , Jiaya Jia

Garments are ubiquitous in both real and many of the virtual worlds. They are highly deformable objects, exhibit an immense variety of designs and shapes, and yet, most garments are created from a set of regularly shaped flat pieces.…

Computer Vision and Pattern Recognition · Computer Science 2022-02-01 Maria Korosteleva , Sung-Hee Lee

End-to-end human animation, such as audio-driven talking human generation, has undergone notable advancements in the recent few years. However, existing methods still struggle to scale up as large general video generation models, limiting…

Computer Vision and Pattern Recognition · Computer Science 2025-07-01 Gaojie Lin , Jianwen Jiang , Jiaqi Yang , Zerong Zheng , Chao Liang

Recent advances in 3D-aware GAN models have enabled the generation of realistic and controllable human body images. However, existing methods focus on the control of major body joints, neglecting the manipulation of expressive attributes,…

Computer Vision and Pattern Recognition · Computer Science 2023-11-23 Zhongcong Xu , Jianfeng Zhang , Jun Hao Liew , Jiashi Feng , Mike Zheng Shou
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