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In this paper, we introduce DreamID, a diffusion-based face swapping model that achieves high levels of ID similarity, attribute preservation, image fidelity, and fast inference speed. Unlike the typical face swapping training process,…

Computer Vision and Pattern Recognition · Computer Science 2025-04-28 Fulong Ye , Miao Hua , Pengze Zhang , Xinghui Li , Qichao Sun , Songtao Zhao , Qian He , Xinglong Wu

For humans, visual understanding is inherently generative: given a 3D shape, we can postulate how it would look in the world; given a 2D image, we can infer the 3D structure that likely gave rise to it. We can thus translate between the 2D…

Computer Vision and Pattern Recognition · Computer Science 2020-11-17 Tristan Aumentado-Armstrong , Alex Levinshtein , Stavros Tsogkas , Konstantinos G. Derpanis , Allan D. Jepson

This paper proposes Instruct 4D-to-4D that achieves 4D awareness and spatial-temporal consistency for 2D diffusion models to generate high-quality instruction-guided dynamic scene editing results. Traditional applications of 2D diffusion…

Computer Vision and Pattern Recognition · Computer Science 2024-06-14 Linzhan Mou , Jun-Kun Chen , Yu-Xiong Wang

Current diffusion-based video editing primarily focuses on structure-preserved editing by utilizing various dense correspondences to ensure temporal consistency and motion alignment. However, these approaches are often ineffective when the…

Computer Vision and Pattern Recognition · Computer Science 2023-12-06 Yuchao Gu , Yipin Zhou , Bichen Wu , Licheng Yu , Jia-Wei Liu , Rui Zhao , Jay Zhangjie Wu , David Junhao Zhang , Mike Zheng Shou , Kevin Tang

Text-to-3D synthesis has recently emerged as a new approach to sampling 3D models by adopting pretrained text-to-image models as guiding visual priors. An intriguing but underexplored problem with existing text-to-3D methods is that 3D…

Computer Vision and Pattern Recognition · Computer Science 2024-07-18 Uy Dieu Tran , Minh Luu , Phong Ha Nguyen , Khoi Nguyen , Binh-Son Hua

Despite recent advances in geometric modeling, 3D mesh modeling still involves a considerable amount of manual labor by experts. In this paper, we introduce Mesh Draping: a neural method for transferring existing mesh structure from one…

Graphics · Computer Science 2021-10-12 Amir Hertz , Or Perel , Raja Giryes , Olga Sorkine-Hornung , Daniel Cohen-Or

Multi-view image diffusion models have significantly advanced open-domain 3D object generation. However, most existing models rely on 2D network architectures that lack inherent 3D biases, resulting in compromised geometric consistency. To…

Computer Vision and Pattern Recognition · Computer Science 2025-02-21 Hansheng Chen , Bokui Shen , Yulin Liu , Ruoxi Shi , Linqi Zhou , Connor Z. Lin , Jiayuan Gu , Hao Su , Gordon Wetzstein , Leonidas Guibas

Texture plays a vital role in enhancing visual richness in both real photographs and computer-generated imagery. However, the process of editing textures often involves laborious and repetitive manual adjustments of textons, which are the…

Graphics · Computer Science 2024-09-24 Peihan Tu , Li-Yi Wei , Matthias Zwicker

As XR technology continues to advance rapidly, 3D generation and editing are increasingly crucial. Among these, stylization plays a key role in enhancing the appearance of 3D models. By utilizing stylization, users can achieve consistent…

Computer Vision and Pattern Recognition · Computer Science 2025-09-03 Dingxi Zhang , Yu-Jie Yuan , Zhuoxun Chen , Fang-Lue Zhang , Zhenliang He , Shiguang Shan , Lin Gao

Analysis of the 3D Texture is indispensable for various tasks, such as retrieval, segmentation, classification, and inspection of sculptures, knitted fabrics, and biological tissues. A 3D texture is a locally repeated surface variation…

Computer Vision and Pattern Recognition · Computer Science 2023-11-20 Iyyakutti Iyappan Ganapathi , Fayaz Ali , Sajid Javed , Syed Sadaf Ali , Naoufel Werghi

Model customization introduces new concepts to existing text-to-image models, enabling the generation of these new concepts/objects in novel contexts. However, such methods lack accurate camera view control with respect to the new object,…

Computer Vision and Pattern Recognition · Computer Science 2024-12-04 Nupur Kumari , Grace Su , Richard Zhang , Taesung Park , Eli Shechtman , Jun-Yan Zhu

Both geometry and texture are fundamental aspects of visual style. Existing style transfer methods, however, primarily focus on texture, almost entirely ignoring geometry. We propose deformable style transfer (DST), an optimization-based…

Computer Vision and Pattern Recognition · Computer Science 2020-07-21 Sunnie S. Y. Kim , Nicholas Kolkin , Jason Salavon , Gregory Shakhnarovich

We propose ClipFace, a novel self-supervised approach for text-guided editing of textured 3D morphable model of faces. Specifically, we employ user-friendly language prompts to enable control of the expressions as well as appearance of 3D…

Computer Vision and Pattern Recognition · Computer Science 2023-04-25 Shivangi Aneja , Justus Thies , Angela Dai , Matthias Nießner

This paper proposes ShapeShifter, a new 3D generative model that learns to synthesize shape variations based on a single reference model. While generative methods for 3D objects have recently attracted much attention, current techniques…

Computer Vision and Pattern Recognition · Computer Science 2025-03-18 Nissim Maruani , Wang Yifan , Matthew Fisher , Pierre Alliez , Mathieu Desbrun

Text-to-image diffusion models have made significant progress in image generation, allowing for effortless customized generation. However, existing image editing methods still face certain limitations when dealing with personalized image…

Computer Vision and Pattern Recognition · Computer Science 2025-09-26 Yuhong Zhang , Han Wang , Yiwen Wang , Rong Xie , Li Song

We present TRACE, a mesh-guided 3DGS editing framework that achieves automated, high-fidelity scene transformation. By anchoring video diffusion with explicit 3D geometry, TRACE uniquely enables fine-grained, part-level manipulatio--such as…

Computer Vision and Pattern Recognition · Computer Science 2026-04-02 Jiyuan Hu , Zechuan Zhang , Zongxin Yang , Yi Yang

Recent one image to 3D generation methods commonly adopt Score Distillation Sampling (SDS). Despite the impressive results, there are multiple deficiencies including multi-view inconsistency, over-saturated and over-smoothed textures, as…

Computer Vision and Pattern Recognition · Computer Science 2023-12-29 Junwu Zhang , Zhenyu Tang , Yatian Pang , Xinhua Cheng , Peng Jin , Yida Wei , Munan Ning , Li Yuan

Recent progress in 4D representations, such as Dynamic NeRF and 4D Gaussian Splatting (4DGS), has enabled dynamic 4D scene reconstruction. However, text-driven 4D scene editing remains under-explored due to the challenge of ensuring both…

Computer Vision and Pattern Recognition · Computer Science 2025-12-02 Dong In Lee , Hyungjun Doh , Seunggeun Chi , Runlin Duan , Sangpil Kim , Karthik Ramani

High-quality 3D texture generation remains a fundamental challenge due to the view-inconsistency inherent in current mainstream multi-view diffusion pipelines. Existing representations either rely on UV maps, which suffer from distortion…

Computer Vision and Pattern Recognition · Computer Science 2026-02-17 Ziteng Lu , Yushuang Wu , Chongjie Ye , Yuda Qiu , Jing Shao , Xiaoyang Guo , Jiaqing Zhou , Tianlei Hu , Kun Zhou , Xiaoguang Han

3D editing has shown remarkable capability in editing scenes based on various instructions. However, existing methods struggle with achieving intuitive, localized editing, such as selectively making flowers blossom. Drag-style editing has…

Computer Vision and Pattern Recognition · Computer Science 2024-12-19 Chenghao Gu , Zhenzhe Li , Zhengqi Zhang , Yunpeng Bai , Shuzhao Xie , Zhi Wang
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