State of the Art in Dense Monocular Non‐Rigid 3D Reconstruction
Abstract 3D reconstruction of deformable (or non‐rigid) scenes from a set of monocular 2D
image observations is a long‐standing and actively researched area of computer vision and …
image observations is a long‐standing and actively researched area of computer vision and …
Nerf-editing: geometry editing of neural radiance fields
Implicit neural rendering, especially Neural Radiance Field (NeRF), has shown great
potential in novel view synthesis of a scene. However, current NeRF-based methods cannot …
potential in novel view synthesis of a scene. However, current NeRF-based methods cannot …
Sc-gs: Sparse-controlled gaussian splatting for editable dynamic scenes
Novel view synthesis for dynamic scenes is still a challenging problem in computer vision
and graphics. Recently Gaussian splatting has emerged as a robust technique to represent …
and graphics. Recently Gaussian splatting has emerged as a robust technique to represent …
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 …
Nerfies: Deformable neural radiance fields
We present the first method capable of photorealistically reconstructing deformable scenes
using photos/videos captured casually from mobile phones. Our approach augments neural …
using photos/videos captured casually from mobile phones. Our approach augments neural …
Sine: Semantic-driven image-based nerf editing with prior-guided editing field
Despite the great success in 2D editing using user-friendly tools, such as Photoshop,
semantic strokes, or even text prompts, similar capabilities in 3D areas are still limited, either …
semantic strokes, or even text prompts, similar capabilities in 3D areas are still limited, either …
Non-rigid neural radiance fields: Reconstruction and novel view synthesis of a dynamic scene from monocular video
Abstract We present Non-Rigid Neural Radiance Fields (NR-NeRF), a reconstruction and
novel view synthesis approach for general non-rigid dynamic scenes. Our approach takes …
novel view synthesis approach for general non-rigid dynamic scenes. Our approach takes …
Neumesh: Learning disentangled neural mesh-based implicit field for geometry and texture editing
Very recently neural implicit rendering techniques have been rapidly evolved and shown
great advantages in novel view synthesis and 3D scene reconstruction. However, existing …
great advantages in novel view synthesis and 3D scene reconstruction. However, existing …
Magicpony: Learning articulated 3d animals in the wild
We consider the problem of predicting the 3D shape, articulation, viewpoint, texture, and
lighting of an articulated animal like a horse given a single test image as input. We present a …
lighting of an articulated animal like a horse given a single test image as input. We present a …
Animal pose estimation: A closer look at the state-of-the-art, existing gaps and opportunities
L Jiang, C Lee, D Teotia, S Ostadabbas - Computer Vision and Image …, 2022 - Elsevier
Over the past few years, research on animal pose estimation in computer vision field has
grown in many aspects such as 2D and 3D pose estimation, 3D mesh reconstruction, and …
grown in many aspects such as 2D and 3D pose estimation, 3D mesh reconstruction, and …