Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Bozic, Aljaz"'
We present 3DGS-LM, a new method that accelerates the reconstruction of 3D Gaussian Splatting (3DGS) by replacing its ADAM optimizer with a tailored Levenberg-Marquardt (LM). Existing methods reduce the optimization time by decreasing the number of G
Externí odkaz:
http://arxiv.org/abs/2409.12892
Autor:
Condor, Jorge, Speierer, Sebastien, Bode, Lukas, Bozic, Aljaz, Green, Simon, Didyk, Piotr, Jarabo, Adrian
Efficient scene representations are essential for many computer graphics applications. A general unified representation that can handle both surfaces and volumes simultaneously, remains a research challenge. Inspired by recent methods for scene recon
Externí odkaz:
http://arxiv.org/abs/2405.15425
Autor:
Höllein, Lukas, Božič, Aljaž, Müller, Norman, Novotny, David, Tseng, Hung-Yu, Richardt, Christian, Zollhöfer, Michael, Nießner, Matthias
3D asset generation is getting massive amounts of attention, inspired by the recent success of text-guided 2D content creation. Existing text-to-3D methods use pretrained text-to-image diffusion models in an optimization problem or fine-tune them on
Externí odkaz:
http://arxiv.org/abs/2403.01807
Autor:
Fischer, Michael, Li, Zhengqin, Nguyen-Phuoc, Thu, Bozic, Aljaz, Dong, Zhao, Marshall, Carl, Ritschel, Tobias
A Neural Radiance Field (NeRF) encodes the specific relation of 3D geometry and appearance of a scene. We here ask the question whether we can transfer the appearance from a source NeRF onto a target 3D geometry in a semantically meaningful way, such
Externí odkaz:
http://arxiv.org/abs/2402.08622
Autor:
Wang, Ziyan, Nam, Giljoo, Bozic, Aljaz, Cao, Chen, Saragih, Jason, Zollhoefer, Michael, Hodgins, Jessica
Hair plays a significant role in personal identity and appearance, making it an essential component of high-quality, photorealistic avatars. Existing approaches either focus on modeling the facial region only or rely on personalized models, limiting
Externí odkaz:
http://arxiv.org/abs/2312.08679
Autor:
Xu, Linning, Agrawal, Vasu, Laney, William, Garcia, Tony, Bansal, Aayush, Kim, Changil, Bulò, Samuel Rota, Porzi, Lorenzo, Kontschieder, Peter, Božič, Aljaž, Lin, Dahua, Zollhöfer, Michael, Richardt, Christian
We present an end-to-end system for the high-fidelity capture, model reconstruction, and real-time rendering of walkable spaces in virtual reality using neural radiance fields. To this end, we designed and built a custom multi-camera rig to densely c
Externí odkaz:
http://arxiv.org/abs/2311.02542
Autor:
Tretschk, Edith, Golyanik, Vladislav, Zollhoefer, Michael, Bozic, Aljaz, Lassner, Christoph, Theobalt, Christian
Existing methods for the 4D reconstruction of general, non-rigidly deforming objects focus on novel-view synthesis and neglect correspondences. However, time consistency enables advanced downstream tasks like 3D editing, motion analysis, or virtual-a
Externí odkaz:
http://arxiv.org/abs/2308.08258
Autor:
Zhu, Shizhan, Saito, Shunsuke, Bozic, Aljaz, Aliaga, Carlos, Darrell, Trevor, Lassner, Christoph
Reconstructing and relighting objects and scenes under varying lighting conditions is challenging: existing neural rendering methods often cannot handle the complex interactions between materials and light. Incorporating pre-computed radiance transfe
Externí odkaz:
http://arxiv.org/abs/2306.09322
Autor:
Wan, Ziyu, Richardt, Christian, Božič, Aljaž, Li, Chao, Rengarajan, Vijay, Nam, Seonghyeon, Xiang, Xiaoyu, Li, Tuotuo, Zhu, Bo, Ranjan, Rakesh, Liao, Jing
Neural radiance fields (NeRFs) enable novel view synthesis with unprecedented visual quality. However, to render photorealistic images, NeRFs require hundreds of deep multilayer perceptron (MLP) evaluations - for each pixel. This is prohibitively exp
Externí odkaz:
http://arxiv.org/abs/2304.10537
Recent methods for 3D reconstruction and rendering increasingly benefit from end-to-end optimization of the entire image formation process. However, this approach is currently limited: effects of the optical hardware stack and in particular lenses ar
Externí odkaz:
http://arxiv.org/abs/2304.04848