https://github.com/alanlusun/openkd
공식 코드OpenKD: Opening Prompt Diversity for Zero- and Few-shot Keypoint Detection
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
OpenKD: Opening Prompt Diversity for Zero- and Few-shot Keypoint Detection
Hierarchical Spatio-temporal Decoupling for Text-to-Video Generation
In-the-wild Audio Spatialization with Flexible Text-guided Localization
Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning
ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension
What's "up" with vision-language models? Investigating their struggle with spatial reasoning
Reinforcing Spatial Reasoning in Vision-Language Models with Interwoven Thinking and Visual Drawing
FloorNet: A Unified Framework for Floorplan Reconstruction from 3D Scans
SpatialBot: Precise Spatial Understanding with Vision Language Models
CityEQA: A Hierarchical LLM Agent on Embodied Question Answering Benchmark in City Space
TopViewRS: Vision-Language Models as Top-View Spatial Reasoners
Show, Don't Tell: Evaluating Large Language Models Beyond Textual Understanding with ChildPlay
Translating Natural Language to Planning Goals with Large-Language Models
Joint Spatio-Textual Reasoning for Answering Tourism Questions
Guided Navigation from Multiple Viewpoints using Qualitative Spatial Reasoning
Grounding Natural Language Instructions: Can Large Language Models Capture Spatial Information?
Sonata: Self-Supervised Learning of Reliable Point Representations
An Empirical Analysis on Spatial Reasoning Capabilities of Large Multimodal Models
A Trajectory Calculus for Qualitative Spatial Reasoning Using Answer Set Programming
GoT-R1: Unleashing Reasoning Capability of MLLM for Visual Generation with Reinforcement Learning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.