Search Results for author:
Found 14 papers, 5 papers with code
SAR3D: Autoregressive 3D Object Generation and Understanding via Multi-scale 3D VQVAE
Autoregressive models have demonstrated remarkable success across various fields, from large language models (LLMs) to large multimodal models (LMMs) and 2D content generation, moving closer to artificial general intelligence (AGI).
GaussianAnything: Interactive Point Cloud Latent Diffusion for 3D Generation
While 3D content generation has advanced significantly, existing methods still face challenges with input formats, latent space design, and output representations.
MvDrag3D: Drag-based Creative 3D Editing via Multi-view Generation-Reconstruction Priors
To overcome these limitations, we introduce MVDrag3D, a novel framework for more flexible and creative drag-based 3D editing that leverages multi-view generation and reconstruction priors.
3DTopia-XL: Scaling High-quality 3D Asset Generation via Primitive Diffusion
The increasing demand for high-quality 3D assets across various industries necessitates efficient and automated 3D content creation.
LN3Diff: Scalable Latent Neural Fields Diffusion for Speedy 3D Generation
The latent is decoded by a transformer-based decoder into a high-capacity 3D neural field.
Learning Dense Correspondence for NeRF-Based Face Reenactment
Therefore, we are inspired to ask: Can we learn the dense correspondence between different NeRF-based face representations without a 3D parametric model prior?
Gaussian3Diff: 3D Gaussian Diffusion for 3D Full Head Synthesis and Editing
We present a novel framework for generating photorealistic 3D human head and subsequently manipulating and reposing them with remarkable flexibility.
DeformToon3D: Deformable 3D Toonification from Neural Radiance Fields
In this paper, we address the challenging problem of 3D toonification, which involves transferring the style of an artistic domain onto a target 3D face with stylized geometry and texture.
DeformToon3D: Deformable Neural Radiance Fields for 3D Toonification
In this paper, we address the challenging problem of 3D toonification, which involves transferring the style of an artistic domain onto a target 3D face with stylized geometry and texture.
Correspondence Distillation from NeRF-based GAN
The neural radiance field (NeRF) has shown promising results in preserving the fine details of objects and scenes.
Self-Supervised Geometry-Aware Encoder for Style-Based 3D GAN Inversion
In this paper, we study the challenging problem of 3D GAN inversion where a latent code is predicted given a single face image to faithfully recover its 3D shapes and detailed textures.
EVA3D: Compositional 3D Human Generation from 2D Image Collections
At the core of EVA3D is a compositional human NeRF representation, which divides the human body into local parts.
MagnifierNet: Towards Semantic Adversary and Fusion for Person Re-identification
Meanwhile, we introduce "Semantic Fusion Branch" to filter out irrelevant noises by selectively fusing semantic region information sequentially.
Structural Combinatorial of Network Information System of Systems based on Evolutionary Optimization Method
The network information system is a military information network system with evolution characteristics.
