47 citations · 78 across the 16 of their papers we have counts for
18 papers
PAGaS: Pixel-Aligned 1DoF Gaussian Splatting for Depth Refinement
David Recasens, Robert Maier, Aljaz Bozic +4
Gaussian Splatting (GS) has emerged as an efficient approach for high-quality novel view synthesis. While early GS variants struggled to accurately model the scene's geometry, rece…
HairWeaver: Few-Shot Photorealistic Hair Motion Synthesis with Sim-to-Real Guided Video Diffusion
Di Chang, Ji Hou, Aljaz Bozic +8
We present HairWeaver, a diffusion-based pipeline that animates a single human image with realistic and expressive hair dynamics. While existing methods successfully control body p…
DGH: Dynamic Gaussian Hair
Junying Wang, Yuanlu Xu, Edith Tretschk +5
The creation of photorealistic dynamic hair remains a major challenge in digital human modeling because of the complex motions, occlusions, and light scattering. Existing methods o…
Self-supervised Learning of Latent Space Dynamics
Yue Li, Gene Wei-Chin Lin, Egor Larionov +7
Modeling the dynamic behavior of deformable objects is crucial for creating realistic digital worlds. While conventional simulations produce high-quality motions, their computation…
PGC: Physics-Based Gaussian Cloth from a Single Pose
Michelle Guo, Matt Jen-Yuan Chiang, Igor Santesteban +9
We introduce a novel approach to reconstruct simulation-ready garments with intricate appearance. Despite recent advancements, existing methods often struggle to balance the need f…
Quaffure: Real-Time Quasi-Static Neural Hair Simulation
Tuur Stuyck, Gene Wei-Chin Lin, Egor Larionov +4
Realistic hair motion is crucial for high-quality avatars, but it is often limited by the computational resources available for real-time applications. To address this challenge, w…
3D Mesh Editing using Masked LRMs
Will Gao, Dilin Wang, Yuchen Fan +6
We present a novel approach to shape editing, building on recent progress in 3D reconstruction from multi-view images. We formulate shape editing as a conditional reconstruction pr…
Don't Splat your Gaussians: Volumetric Ray-Traced Primitives for Modeling and Rendering Scattering and Emissive Media
Jorge Condor, Sebastien Speierer, Lukas Bode +4
Efficient scene representations are essential for many computer graphics applications. A general unified representation that can handle both surfaces and volumes simultaneously, re…
NeRF Analogies: Example-Based Visual Attribute Transfer for NeRFs
Michael Fischer, Zhengqin Li, Thu Nguyen-Phuoc +4
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…
A Local Appearance Model for Volumetric Capture of Diverse Hairstyle
Ziyan Wang, Giljoo Nam, Aljaz Bozic +4
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 mod…
VR-NeRF: High-Fidelity Virtualized Walkable Spaces
Linning Xu, Vasu Agrawal, William Laney +10
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…
SceNeRFlow: Time-Consistent Reconstruction of General Dynamic Scenes
Edith Tretschk, Vladislav Golyanik, Michael Zollhoefer +3
Existing methods for the 4D reconstruction of general, non-rigidly deforming objects focus on novel-view synthesis and neglect correspondences. However, time consistency enables ad…
Fast Image-based Neural Relighting with Translucency-Reflection Modeling
Shizhan Zhu, Shunsuke Saito, Aljaz Bozic +3
Image-based lighting (IBL) is a widely used technique that renders objects using a high dynamic range image or environment map. However, aggregating the irradiance at the object's…
Learning Neural Duplex Radiance Fields for Real-Time View Synthesis
Ziyu Wan, Christian Richardt, Aljaž Božič +8
Neural radiance fields (NeRFs) enable novel view synthesis with unprecedented visual quality. However, to render photorealistic images, NeRFs require hundreds of deep multilayer pe…
Neural Assets: Volumetric Object Capture and Rendering for Interactive Environments
Aljaž Božič, Denis Gladkov, Luke Doukakis +1
Creating realistic virtual assets is a time-consuming process: it usually involves an artist designing the object, then spending a lot of effort on tweaking its appearance. Intrica…
RC-MVSNet: Unsupervised Multi-View Stereo with Neural Rendering
Di Chang, Aljaž Božič, Tong Zhang +4
Finding accurate correspondences among different views is the Achilles' heel of unsupervised Multi-View Stereo (MVS). Existing methods are built upon the assumption that correspond…
Learning to Optimize Non-Rigid Tracking
Yang Li, Aljaž Božič, Tianwei Zhang +3
One of the widespread solutions for non-rigid tracking has a nested-loop structure: with Gauss-Newton to minimize a tracking objective in the outer loop, and Preconditioned Conjuga…
DeepDeform: Learning Non-rigid RGB-D Reconstruction with Semi-supervised Data
Aljaž Božič, Michael Zollhöfer, Christian Theobalt +1
Applying data-driven approaches to non-rigid 3D reconstruction has been difficult, which we believe can be attributed to the lack of a large-scale training corpus. Unfortunately, t…