Physgaussian: Physics-integrated 3d gaussians for generative dynamics
We introduce PhysGaussian a new method that seamlessly integrates physically grounded
Newtonian dynamics within 3D Gaussians to achieve high-quality novel motion synthesis …
Newtonian dynamics within 3D Gaussians to achieve high-quality novel motion synthesis …
Pie-nerf: Physics-based interactive elastodynamics with nerf
We show that physics-based simulations can be seamlessly integrated with NeRF to
generate high-quality elastodynamics of real-world objects. Unlike existing methods we …
generate high-quality elastodynamics of real-world objects. Unlike existing methods we …
Benchmarking Neural Radiance Fields for Autonomous Robots: An Overview
Neural Radiance Fields (NeRF) have emerged as a powerful paradigm for 3D scene
representation, offering high-fidelity renderings and reconstructions from a set of sparse and …
representation, offering high-fidelity renderings and reconstructions from a set of sparse and …
Deformable NeRF using Recursively Subdivided Tetrahedra
Z Qiu, C Ren, K Song, X Zeng, L Yang… - ACM Multimedia …, 2024 - openreview.net
While neural radiance fields (NeRF) have shown promise in novel view synthesis, their
implicit representation limits explicit control over object manipulation. Existing research has …
implicit representation limits explicit control over object manipulation. Existing research has …
Mani-GS: Gaussian Splatting Manipulation with Triangular Mesh
Neural 3D representations such as Neural Radiance Fields (NeRF), excel at producing
photo-realistic rendering results but lack the flexibility for manipulation and editing which is …
photo-realistic rendering results but lack the flexibility for manipulation and editing which is …