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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 …
Benchmarking neural radiance fields for autonomous robots: An overview
Abstract Neural Radiance Field (NeRF) has emerged as a powerful paradigm for 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 …
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 …
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 …
Deformable NeRF using Recursively Subdivided Tetrahedra
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 …
FruitNinja: 3D Object Interior Texture Generation with Gaussian Splatting
In the real world, objects reveal internal textures when sliced or cut, yet this behavior is not
well-studied in 3D generation tasks today. For example, slicing a virtual 3D watermelon …
well-studied in 3D generation tasks today. For example, slicing a virtual 3D watermelon …