Search Results for author:
Found 18 papers, 5 papers with code
GenRec: Unifying Video Generation and Recognition with Diffusion Models
In this paper, we aim to investigate whether such priors derived from a generative process are suitable for video recognition, and eventually joint optimization of generation and recognition.
Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms
In this paper, we target the realm of visual aesthetics and aim to align vision models with human aesthetic standards in a retrieval system.
AID: Adapting Image2Video Diffusion Models for Instruction-guided Video Prediction
Text-guided video prediction (TVP) involves predicting the motion of future frames from the initial frame according to an instruction, which has wide applications in virtual reality, robotics, and content creation.
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.
A Generative Framework for Self-Supervised Facial Representation Learning
Second, we propose a novel representation diffusion model 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.
