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Pose-free feed-forward 3D Gaussian Splatting (3DGS) has opened a new frontier for rapid 3D modeling, enabling high-quality Gaussian representations to be generated from uncalibrated multi-view images in a single forward pass. The dominant…

Computer Vision and Pattern Recognition · Computer Science 2026-03-25 Hwasik Jeong , Seungryong Lee , Gyeongjin Kang , Seungkwon Yang , Xiangyu Sun , Seungtae Nam , Eunbyung Park

Precise 3D measurements of rigid surfaces are desired in many fields of application like quality control or surgery. Often, views from all around the object have to be acquired for a full 3D description of the object surface. We present a…

Optics · Physics 2014-01-10 Oliver Arold , Svenja Ettl , Florian Willomitzer , Gerd Häusler

Accurately perceiving an object's pose and shape is essential for precise grasping and manipulation. Compared to common vision-based methods, tactile sensing offers advantages in precision and immunity to occlusion when tracking and…

Robotics · Computer Science 2026-02-17 Hung-Jui Huang , Mohammad Amin Mirzaee , Michael Kaess , Wenzhen Yuan

Virtual content creation and interaction play an important role in modern 3D applications such as AR and VR. Recovering detailed 3D models from real scenes can significantly expand the scope of its applications and has been studied for…

Computer Vision and Pattern Recognition · Computer Science 2023-01-31 Hai Li , Xingrui Yang , Hongjia Zhai , Yuqian Liu , Hujun Bao , Guofeng Zhang

Simultaneous reconstruction of geometry and reflectance properties in uncontrolled environments remains a challenging problem. In this paper, we propose an efficient method to reconstruct the scene's 3D geometry and reflectance from…

Computer Vision and Pattern Recognition · Computer Science 2022-03-01 Rui Li , Guangmin Zang , Miao Qi , Wolfgang Heidrich

Monocular visual SLAM enables 3D reconstruction from internet video and autonomous navigation on resource-constrained platforms, yet suffers from scale drift, i.e., the gradual divergence of estimated scale over long sequences. Existing…

Computer Vision and Pattern Recognition · Computer Science 2026-01-15 Yuchen Wu , Jiahe Li , Xiaohan Yu , Lina Yu , Jin Zheng , Xiao Bai

The reconstruction of dynamic 3D scenes using 3D Gaussian Splatting has shown significant promise. A key challenge, however, remains in modeling realistic motion, as most methods fail to align the motion of Gaussians with real-world…

Computer Vision and Pattern Recognition · Computer Science 2026-03-30 Junoh Lee , Junmyeong Lee , Yeon-Ji Song , Inhwan Bae , Jisu Shin , Hae-Gon Jeon , Jin-Hwa Kim

Recent advancements in radiance fields have opened new avenues for creating high-quality 3D assets and scenes. Style transfer can enhance these 3D assets with diverse artistic styles, transforming creative expression. However, existing…

Computer Vision and Pattern Recognition · Computer Science 2024-07-15 Sahil Jain , Avik Kuthiala , Prabhdeep Singh Sethi , Prakanshul Saxena

Differentiable render is widely used in optimization-based 3D reconstruction which requires gradients from differentiable operations for gradient-based optimization. The existing differentiable renderers obtain the gradients of rendering…

Computer Vision and Pattern Recognition · Computer Science 2019-06-20 Zaiqiang Wu , Wei Jiang

Object-level manipulation, relocating or reorienting objects in images or videos while preserving scene realism, is central to film post-production, AR, and creative editing. Yet existing methods struggle to jointly achieve three core…

Computer Vision and Pattern Recognition · Computer Science 2026-02-13 Penghui Ruan , Bojia Zi , Xianbiao Qi , Youze Huang , Rong Xiao , Pichao Wang , Jiannong Cao , Yuhui Shi

Gaussian Splatting has achieved remarkable progress in multi-view surface reconstruction, yet it exhibits notable degradation when only few views are available. Although recent efforts alleviate this issue by enhancing multi-view…

Computer Vision and Pattern Recognition · Computer Science 2026-05-13 Jimin Tang , Wenyuan Zhang , Junsheng Zhou , Zian Huang , Kanle Shi , Shenkun Xu , Yu-Shen Liu , Zhizhong Han

Structured-light three-dimensional (3D) imaging can achieve 3D shape of a stationary object via one or more pixelated array cameras with phase-shifting illumination. In order to extend 3D imaging to moving scenarios, we propose a 3D imaging…

Image and Video Processing · Electrical Eng. & Systems 2019-05-01 Wen-Kai Yu

Reconstructing physically stable 3D scenes from a single RGB image enables casual images to be converted into simulation-ready digital assets for applications such as immersive interaction and content creation. However, existing…

Computer Vision and Pattern Recognition · Computer Science 2026-05-29 Xiaoxuan Ma , Jiashun Wang , Nicolas Ugrinovic , Yehonathan Litman , Kris Kitani

Recent advances in 3D generative models have rapidly improved image-to-3D synthesis quality, enabling higher-resolution geometry and more realistic appearance. Yet fidelity, which measures pixel-level faithfulness of the generated 3D asset…

Computer Vision and Pattern Recognition · Computer Science 2026-05-12 Dong-Yang Li , Wang Zhao , Yuxin Chen , Wenbo Hu , Meng-Hao Guo , Fang-Lue Zhang , Ying Shan , Shi-Min Hu

We introduce a hybrid Gaussian-hash-grid radiance representation for reconstructing 2D Gaussian scene models from multi-view images. Similar to NeST splatting, our approach reduces the entanglement between geometry and appearance common in…

Computer Vision and Pattern Recognition · Computer Science 2026-04-20 Neel Kelkar , Simon Niedermayr , Klaus Engel , Rüdiger Westermann

In this paper, we present TEXTure, a novel method for text-guided generation, editing, and transfer of textures for 3D shapes. Leveraging a pretrained depth-to-image diffusion model, TEXTure applies an iterative scheme that paints a 3D…

Computer Vision and Pattern Recognition · Computer Science 2023-02-06 Elad Richardson , Gal Metzer , Yuval Alaluf , Raja Giryes , Daniel Cohen-Or

We present a novel technique to estimate the 6D pose of objects from single images where the 3D geometry of the object is only given approximately and not as a precise 3D model. To achieve this, we employ a dense 2D-to-3D correspondence…

Computer Vision and Pattern Recognition · Computer Science 2023-09-01 Maximilian Ulmer , Maximilian Durner , Martin Sundermeyer , Manuel Stoiber , Rudolph Triebel

3D Gaussian splatting (3DGS) has demonstrated impressive 3D reconstruction performance with explicit scene representations. Given the widespread application of 3DGS in 3D reconstruction and generation tasks, there is an urgent need to…

Computer Vision and Pattern Recognition · Computer Science 2025-11-25 Yijia Guo , Wenkai Huang , Yang Li , Gaolei Li , Hang Zhang , Liwen Hu , Jianhua Li , Tiejun Huang , Lei Ma

Realistic scene reconstruction and view synthesis are essential for advancing autonomous driving systems by simulating safety-critical scenarios. 3D Gaussian Splatting excels in real-time rendering and static scene reconstructions but…

Computer Vision and Pattern Recognition · Computer Science 2024-07-08 Mustafa Khan , Hamidreza Fazlali , Dhruv Sharma , Tongtong Cao , Dongfeng Bai , Yuan Ren , Bingbing Liu

Gaussian Splatting (GS) has proven to be highly effective in novel view synthesis, achieving high-quality and real-time rendering. However, its potential for reconstructing detailed 3D shapes has not been fully explored. Existing methods…

Graphics · Computer Science 2024-06-25 Baowen Zhang , Chuan Fang , Rakesh Shrestha , Yixun Liang , Xiaoxiao Long , Ping Tan