Search Results for author:
Found 15 papers, 5 papers with code
FDGaussian: Fast Gaussian Splatting from Single Image via Geometric-aware Diffusion Model
Reconstructing detailed 3D objects from single-view images remains a challenging task due to the limited information available.
VIDiff: Translating Videos via Multi-Modal Instructions with Diffusion Models
Our model can edit and translate the desired results within seconds based on user instructions.
AdaDiff: Adaptive Step Selection for Fast Diffusion
Diffusion models, as a type of generative models, have achieved impressive results in generating images and videos conditioned on textual conditions.
A Survey on Video Diffusion Models
However, existing surveys mainly focus on diffusion models in the context of image generation, with few up-to-date reviews on their application in the video domain.
Unsupervised Disentangling of Facial Representations with 3D-aware Latent Diffusion Models
Second, we propose a novel representation diffusion model (RDM) to disentangle 3D latent into facial identity and expression.
PanoSwin: a Pano-style Swin Transformer for Panorama Understanding
In panorama understanding, the widely used equirectangular projection (ERP) entails boundary discontinuity and spatial distortion.
SimDA: Simple Diffusion Adapter for Efficient Video Generation
In this work, we propose a Simple Diffusion Adapter (SimDA) that fine-tunes only 24M out of 1. 1B parameters of a strong T2I model, adapting it to video generation in a parameter-efficient way.
FlexDTI: Flexible diffusion gradient encoding scheme-based highly efficient diffusion tensor imaging using deep learning
Significance: FlexDTI can well learn diffusion gradient direction information to achieve generalized DTI reconstruction with flexible diffusion gradient scheme.
TranSFormer: Slow-Fast Transformer for Machine Translation
Learning multiscale Transformer models has been evidenced as a viable approach to augmenting machine translation systems.
SVFormer: Semi-supervised Video Transformer for Action Recognition
In this paper, we investigate the use of transformer models under the SSL setting for action recognition.
Semi-Supervised Single-View 3D Reconstruction via Prototype Shape Priors
In particular, we introduce an attention-guided prototype shape prior module for guiding realistic object reconstruction.
Few-shot Single-view 3D Reconstruction with Memory Prior Contrastive Network
In this paper, we present a Memory Prior Contrastive Network (MPCN) that can store shape prior knowledge in a few-shot learning based 3D reconstruction framework.
3D-Augmented Contrastive Knowledge Distillation for Image-based Object Pose Estimation
We enhance the performance of image-based methods for category-agnostic object pose estimation by exploiting 3D knowledge learned by a multi-modal method.
CaSS: A Channel-aware Self-supervised Representation Learning Framework for Multivariate Time Series Classification
Many previous works focus on the pretext task of self-supervised learning and usually neglect the complex problem of MTS encoding, leading to unpromising results.
Feature Pyramid Network for Multi-task Affective Analysis
Affective Analysis is not a single task, and the valence-arousal value, expression class, and action unit can be predicted at the same time.
