Tracking everything everywhere all at once
We present a new test-time optimization method for estimating dense and long-range motion
from a video sequence. Prior optical flow or particle video tracking algorithms typically …
from a video sequence. Prior optical flow or particle video tracking algorithms typically …
Deep marching tetrahedra: a hybrid representation for high-resolution 3d shape synthesis
We introduce DMTet, a deep 3D conditional generative model that can synthesize high-
resolution 3D shapes using simple user guides such as coarse voxels. It marries the merits …
resolution 3D shapes using simple user guides such as coarse voxels. It marries the merits …
Gapartnet: Cross-category domain-generalizable object perception and manipulation via generalizable and actionable parts
For years, researchers have been devoted to generalizable object perception and
manipulation, where cross-category generalizability is highly desired yet underexplored. In …
manipulation, where cross-category generalizability is highly desired yet underexplored. In …
Neural surface reconstruction of dynamic scenes with monocular rgb-d camera
Abstract We propose Neural-DynamicReconstruction (NDR), a template-free method to
recover high-fidelity geometry and motions of a dynamic scene from a monocular RGB-D …
recover high-fidelity geometry and motions of a dynamic scene from a monocular RGB-D …
[PDF][PDF] Flexible Isosurface Extraction for Gradient-Based Mesh Optimization.
Flexible Isosurface Extraction for Gradient- Based Mesh Optimization Page 1 Flexible Isosurface
Extraction for GradientBased Mesh Optimization Tianchang Shen, Jacob Munkberg, Jon …
Extraction for GradientBased Mesh Optimization Tianchang Shen, Jacob Munkberg, Jon …
Effective pan-sharpening by multiscale invertible neural network and heterogeneous task distilling
As recognized, the ground-truth multispectral (MS) images possess the complementary
information (eg, high-frequency components) of low-resolution (LR) MS images, which can …
information (eg, high-frequency components) of low-resolution (LR) MS images, which can …
Lisa: Learning implicit shape and appearance of hands
This paper proposes a do-it-all neural model of human hands, named LISA. The model can
capture accurate hand shape and appearance, generalize to arbitrary hand subjects …
capture accurate hand shape and appearance, generalize to arbitrary hand subjects …
Lassie: Learning articulated shapes from sparse image ensemble via 3d part discovery
Creating high-quality articulated 3D models of animals is challenging either via manual
creation or using 3D scanning tools. Therefore, techniques to reconstruct articulated 3D …
creation or using 3D scanning tools. Therefore, techniques to reconstruct articulated 3D …
SCALE: Modeling clothed humans with a surface codec of articulated local elements
Learning to model and reconstruct humans in clothing is challenging due to articulation, non-
rigid deformation, and varying clothing types and topologies. To enable learning, the choice …
rigid deformation, and varying clothing types and topologies. To enable learning, the choice …
Salad: Part-level latent diffusion for 3d shape generation and manipulation
We present a cascaded diffusion model based on a part-level implicit 3D representation. Our
model achieves state-of-the-art generation quality and also enables part-level shape editing …
model achieves state-of-the-art generation quality and also enables part-level shape editing …