Search Results for author:
Found 17 papers, 8 papers with code
ThemeStation: Generating Theme-Aware 3D Assets from Few Exemplars
To this end, we design a two-stage framework that draws a concept image first, followed by a reference-informed 3D modeling stage.
ComboVerse: Compositional 3D Assets Creation Using Spatially-Aware Diffusion Guidance
Though promising results have been achieved in single object generation, these methods often struggle to model complex 3D assets that inherently contain multiple objects.
3DTopia: Large Text-to-3D Generation Model with Hybrid Diffusion Priors
Specifically, it is powered by a text-conditioned tri-plane latent diffusion model, which quickly generates coarse 3D samples for fast prototyping.
LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation
2) 3D Backbone: We present an asymmetric U-Net as a high-throughput backbone operating on multi-view images, which can be produced from text or single-view image input by leveraging multi-view diffusion models.
AscDAMs: Advanced SLAM-based channel detection and mapping system
We demonstrate the capability of AscDAMs to greatly improve SLAM results, promoting SLAM for mapping the specially challenging environment.
Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior
In this work, we investigate the problem of creating high-fidelity 3D content from only a single image.
Rodin: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion
This paper presents a 3D generative model that uses diffusion models to automatically generate 3D digital avatars represented as neural radiance fields.
3D GAN Inversion with Facial Symmetry Prior
It is natural to associate 3D GANs with GAN inversion methods to project a real image into the generator's latent space, allowing free-view consistent synthesis and editing, referred as 3D GAN inversion.
Pretraining is All You Need for Image-to-Image Translation
We propose to use pretraining to boost general image-to-image translation.
Ranked #1 on
Sketch-to-Image Translation
on COCO-Stuff
Backward bifurcation, basic reinfection number and robustness of a SEIRE epidemic model with reinfection
That is, the system has backward bifurcation and the disease cannot be eradicated.
Bootstrap Motion Forecasting With Self-Consistent Constraints
Also, to model the multi-modality in motion forecasting, we design a novel self-ensembling scheme to obtain accurate teacher targets to enforce the self-constraints with multi-modality supervision.
Ranked #9 on
Motion Forecasting
on Argoverse CVPR 2020
Backward bifurcation and saddle-node bifurcation in virus-immune dynamics
The values of backward bifurcation point and saddle node bifurcation point are the elite control threshold and post-treatment control threshold respectively.
High-Fidelity GAN Inversion for Image Attribute Editing
With a low bit-rate latent code, previous works have difficulties in preserving high-fidelity details in reconstructed and edited images.
Dual-Camera Super-Resolution with Aligned Attention Modules
We present a novel approach to reference-based super-resolution (RefSR) with the focus on dual-camera super-resolution (DCSR), which utilizes reference images for high-quality and high-fidelity results.
Image Inpainting with External-internal Learning and Monochromic Bottleneck
Although recent inpainting approaches have demonstrated significant improvements with deep neural networks, they still suffer from artifacts such as blunt structures and abrupt colors when filling in the missing regions.
Relation-aware Meta-learning for Market Segment Demand Prediction with Limited Records
The goal is to facilitate the learning process in the target segments by leveraging the learned knowledge from data-sufficient source segments.
