Trending Research
Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance
The labeled data is used to train a reward model that simulates human judgment and serves as an automatic evaluator of the proactiveness of LLM agents.
SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory
The Segment Anything Model 2 (SAM 2) has demonstrated strong performance in object segmentation tasks but faces challenges in visual object tracking, particularly when managing crowded scenes with fast-moving or self-occluding objects.
Ranked #1 on
Visual Object Tracking
on GOT-10k
Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions
aidc-ai/marco-o1
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Currently OpenAI o1 sparks a surge of interest in the study of large reasoning models (LRM).
MinerU: An Open-Source Solution for Precise Document Content Extraction
Document content analysis has been a crucial research area in computer vision.
StableAnimator: High-Quality Identity-Preserving Human Image Animation
Francis-Rings/StableAnimator
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During inference, we propose a novel Hamilton-Jacobi-Bellman (HJB) equation-based optimization to further enhance the face quality.
DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving
However, the numerous denoising steps in the robotic diffusion policy and the more dynamic, open-world nature of traffic scenes pose substantial challenges for generating diverse driving actions at a real-time speed.
DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting
Recent progress in scene synthesis makes standalone SLAM systems purely based on optimizing hyperprimitives with a Rendering objective possible.
MureObjectStitch: Multi-reference Image Composition
bcmi/mureobjectstitch-image-composition
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Generative image composition aims to regenerate the given foreground object in the background image to produce a realistic composite image.
3D Convex Splatting: Radiance Field Rendering with 3D Smooth Convexes
convexsplatting/convex-splatting
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Our results highlight the potential of 3D Convex Splatting to become the new standard for high-quality scene reconstruction and novel view synthesis.
One Diffusion to Generate Them All
Experimental results demonstrate competitive performance across tasks in both generation and prediction such as text-to-image, multiview generation, ID preservation, depth estimation and camera pose estimation despite relatively small training dataset.
