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Recent advances in implicit representation-based 3d shape generation
Various techniques have been developed and introduced to address the pressing need to
create three-dimensional (3D) content for advanced applications such as virtual reality and …
create three-dimensional (3D) content for advanced applications such as virtual reality and …
Ai-generated content (aigc) for various data modalities: A survey
AI-generated content (AIGC) methods aim to produce text, images, videos, 3D assets, and
other media using AI algorithms. Due to its wide range of applications and the demonstrated …
other media using AI algorithms. Due to its wide range of applications and the demonstrated …
Lion: Latent point diffusion models for 3d shape generation
Denoising diffusion models (DDMs) have shown promising results in 3D point cloud
synthesis. To advance 3D DDMs and make them useful for digital artists, we require (i) high …
synthesis. To advance 3D DDMs and make them useful for digital artists, we require (i) high …
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 …
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 …
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 …
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 …
Neural descriptor fields: Se (3)-equivariant object representations for manipulation
We present Neural Descriptor Fields (NDFs), an object representation that encodes both
points and relative poses between an object and a target (such as a robot gripper or a rack …
points and relative poses between an object and a target (such as a robot gripper or a rack …
RayMVSNet++: learning ray-based 1D implicit fields for accurate multi-view stereo
Learning-based multi-view stereo (MVS) has by far centered around 3D convolution on cost
volumes. Due to the high computation and memory consumption of 3D CNN, the resolution …
volumes. Due to the high computation and memory consumption of 3D CNN, the resolution …
Towards implicit text-guided 3d shape generation
In this work, we explore the challenging task of generating 3D shapes from text. Beyond the
existing works, we propose a new approach for text-guided 3D shape generation, capable of …
existing works, we propose a new approach for text-guided 3D shape generation, capable of …