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Found 31 papers, 19 papers with code
AnyStory: Towards Unified Single and Multiple Subject Personalization in Text-to-Image Generation
AnyStory not only achieves high-fidelity personalization for single subjects, but also for multiple subjects, without sacrificing subject fidelity.
AnyText2: Visual Text Generation and Editing With Customizable Attributes
As an extension of AnyText, this method allows for customization of attributes for each line of text, leading to improvements of 3. 3% and 9. 3% in text accuracy for Chinese and English, respectively.
GLDesigner: Leveraging Multi-Modal LLMs as Designer for Enhanced Aesthetic Text Glyph Layouts
Text logo design heavily relies on the creativity and expertise of professional designers, in which arranging element layouts is one of the most important procedures.
Prune and Repaint: Content-Aware Image Retargeting for any Ratio
By focusing on the content and structure of the foreground, our PruneRepaint approach adaptively avoids key content loss and deformation, while effectively mitigating artifacts with local repainting.
AdaptiveDrag: Semantic-Driven Dragging on Diffusion-Based Image Editing
Next, we leverage a pre-trained diffusion model to optimize the latent, enabling the dragging of features from handle points to target points.
UniPortrait: A Unified Framework for Identity-Preserving Single- and Multi-Human Image Personalization
UniPortrait consists of only two plug-and-play modules: an ID embedding module and an ID routing module.
MetaDesigner: Advancing Artistic Typography Through AI-Driven, User-Centric, and Multilingual WordArt Synthesis
MetaDesigner introduces a transformative framework for artistic typography synthesis, powered by Large Language Models (LLMs) and grounded in a user-centric design paradigm.
VirtualModel: Generating Object-ID-retentive Human-object Interaction Image by Diffusion Model for E-commerce Marketing
Due to the significant advances in large-scale text-to-image generation by diffusion model (DM), controllable human image generation has been attracting much attention recently.
Strictly-ID-Preserved and Controllable Accessory Advertising Image Generation
Customized generative text-to-image models have the ability to produce images that closely resemble a given subject.
ShoeModel: Learning to Wear on the User-specified Shoes via Diffusion Model
Specifically, we propose a shoe-wearing system, called Shoe-Model, to generate plausible images of human legs interacting with the given shoes.
Data-efficient Event Camera Pre-training via Disentangled Masked Modeling
Our pre-training overcomes the limitations of previous methods, which either sacrifice temporal information by converting event sequences into 2D images for utilizing pre-trained image models or directly employ paired image data for knowledge distillation to enhance the learning of event streams.
WordArt Designer API: User-Driven Artistic Typography Synthesis with Large Language Models on ModelScope
This paper introduces the WordArt Designer API, a novel framework for user-driven artistic typography synthesis utilizing Large Language Models (LLMs) on ModelScope.
Tracking with Human-Intent Reasoning
The perception component then generates the tracking results based on the embeddings.
Ranked #5 on
Referring Video Object Segmentation
on ReVOS
FMViT: A multiple-frequency mixing Vision Transformer
On CoreML, FMViT outperforms MobileOne by 2. 6% in top-1 accuracy on the ImageNet dataset, with inference latency comparable to MobileOne (78. 5% vs. 75. 9%).
AnyText: Multilingual Visual Text Generation And Editing
Based on AnyWord-3M dataset, we propose AnyText-benchmark for the evaluation of visual text generation accuracy and quality.
Ranked #6 on
Image Generation
on TextAtlasEval
WordArt Designer: User-Driven Artistic Typography Synthesis using Large Language Models
This paper introduces WordArt Designer, a user-driven framework for artistic typography synthesis, relying on the Large Language Model (LLM).
Refined Temporal Pyramidal Compression-and-Amplification Transformer for 3D Human Pose Estimation
Accurately estimating the 3D pose of humans in video sequences requires both accuracy and a well-structured architecture.
Ranked #10 on
3D Human Pose Estimation
on HumanEva-I
PoSynDA: Multi-Hypothesis Pose Synthesis Domain Adaptation for Robust 3D Human Pose Estimation
Typically, PoSynDA uses a diffusion-inspired structure to simulate 3D pose distribution in the target domain.
Towards Deeply Unified Depth-aware Panoptic Segmentation with Bi-directional Guidance Learning
Our method sets the new state of the art for depth-aware panoptic segmentation on both Cityscapes-DVPS and SemKITTI-DVPS datasets.
PGformer: Proxy-Bridged Game Transformer for Multi-Person Highly Interactive Extreme Motion Prediction
Multi-person motion prediction is a challenging task, especially for real-world scenarios of highly interacted persons.
KeyPosS: Plug-and-Play Facial Landmark Detection through GPS-Inspired True-Range Multilateration
By spearheading the integration of Multilateration with facial analysis, KeyPosS marks a paradigm shift in facial landmark detection.
Overcoming Topology Agnosticism: Enhancing Skeleton-Based Action Recognition through Redefined Skeletal Topology Awareness
As a remedy, we propose a threefold strategy: (1) We forge an innovative pathway that encodes bone connectivity by harnessing the power of graph distances.
DAMO-StreamNet: Optimizing Streaming Perception in Autonomous Driving
Real-time perception, or streaming perception, is a crucial aspect of autonomous driving that has yet to be thoroughly explored in existing research.
FastInst: A Simple Query-Based Model for Real-Time Instance Segmentation
In this paper, we show the strong potential of query-based models on efficient instance segmentation algorithm designs.
HDFormer: High-order Directed Transformer for 3D Human Pose Estimation
Human pose estimation is a challenging task due to its structured data sequence nature.
Ranked #90 on
3D Human Pose Estimation
on Human3.6M
Optimal Proposal Learning for Deployable End-to-End Pedestrian Detection
End-to-end pedestrian detection focuses on training a pedestrian detection model via discarding the Non-Maximum Suppression (NMS) post-processing.
Hypergraph Transformer for Skeleton-based Action Recognition
Skeleton-based action recognition aims to recognize human actions given human joint coordinates with skeletal interconnections.
Ranked #12 on
Skeleton Based Action Recognition
on NTU RGB+D 120
ProContEXT: Exploring Progressive Context Transformer for Tracking
Existing Visual Object Tracking (VOT) only takes the target area in the first frame as a template.
Ranked #1 on
Video Object Tracking
on NT-VOT211
LongShortNet: Exploring Temporal and Semantic Features Fusion in Streaming Perception
Streaming perception is a critical task in autonomous driving that requires balancing the latency and accuracy of the autopilot system.
Learning to Focus: Cascaded Feature Matching Network for Few-shot Image Recognition
By applying the proposed feature matching block in different layers of the few-shot recognition network, multi-scale information among the compared images can be incorporated into the final cascaded matching feature, which boosts the recognition performance further and generalizes better by learning on relationships.
Diversity Transfer Network for Few-Shot Learning
The learning problem of the sample generation (i. e., diversity transfer) is solved via minimizing an effective meta-classification loss in a single-stage network, instead of the generative loss in previous works.
