Trending Research
Data-centric Artificial Intelligence: A Survey
daochenzha/data-centric-ai
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Artificial Intelligence (AI) is making a profound impact in almost every domain.
ADAPT: Action-aware Driving Caption Transformer
jxbbb/adapt
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To bridge the gap, we propose an end-to-end transformer-based architecture, ADAPT (Action-aware Driving cAPtion Transformer), which provides user-friendly natural language narrations and reasoning for each decision making step of autonomous vehicular control and action.
Anti-DreamBooth: Protecting users from personalized text-to-image synthesis
vinairesearch/anti-dreambooth
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Despite the complicated formulation of DreamBooth and Diffusion-based text-to-image models, our methods effectively defend users from the malicious use of those models.
Ref-NPR: Reference-Based Non-Photorealistic Radiance Fields for Controllable Scene Stylization
We propose a ray registration process based on the stylized reference view to obtain pseudo-ray supervision in novel views.
Masked Diffusion Transformer is a Strong Image Synthesizer
sail-sg/mdt
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Despite its success in image synthesis, we observe that diffusion probabilistic models (DPMs) often lack contextual reasoning ability to learn the relations among object parts in an image, leading to a slow learning process.
Ranked #1 on
Image Generation
on ImageNet 256x256
SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation
We present SadTalker, which generates 3D motion coefficients (head pose, expression) of the 3DMM from audio and implicitly modulates a novel 3D-aware face render for talking head generation.
You Only Segment Once: Towards Real-Time Panoptic Segmentation
hujiecpp/yoso
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To reduce the computational overhead, we design a feature pyramid aggregator for the feature map extraction, and a separable dynamic decoder for the panoptic kernel generation.
OCR-free Document Understanding Transformer
clovaai/donut
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Current Visual Document Understanding (VDU) methods outsource the task of reading text to off-the-shelf Optical Character Recognition (OCR) engines and focus on the understanding task with the OCR outputs.
GPT-4 Technical Report
We report the development of GPT-4, a large-scale, multimodal model which can accept image and text inputs and produce text outputs.
Ranked #1 on
Multi-task Language Understanding
on MMLU
Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases
Extending the idea of graph databases (graph DBs), NGDB consists of a Neural Graph Storage and a Neural Graph Engine.
