https://github.com/JialianW/GRiT
공식 코드GRiT: A Generative Region-to-text Transformer for Object Understanding
Papers with Code 아카이브
Dense Captioning
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/OpenRobotLab/Grounded_3D-LLM
공식 코드https://github.com/SxJyJay/MORE
공식 코드MORE: Multi-Order RElation Mining for Dense Captioning in 3D Scenes
https://github.com/VisionLearningGroup/JEDDi-Net
공식 코드Joint Event Detection and Description in Continuous Video Streams
https://github.com/Visual-Conception-Group/Dense-Captioning-for-Text-Image-ReID
공식 코드https://github.com/adymaharana/vlcstorygan
공식 코드Integrating Visuospatial, Linguistic and Commonsense Structure into Story Visualization
https://github.com/andy-cheng/tempura
공식 코드TEMPURA: Temporal Event Masked Prediction and Understanding for Reasoning in Action
https://github.com/blessing988/pavecap
공식 코드https://github.com/callsys/controlcap
공식 코드https://github.com/ch3cook-fdu/vote2cap-detr
공식 코드https://github.com/curryyuan/x-trans2cap
공식 코드X-Trans2Cap: Cross-Modal Knowledge Transfer using Transformer for 3D Dense Captioning
https://github.com/emanuelevivoli/comicap
공식 코드ComiCap: A VLMs pipeline for dense captioning of Comic Panels
https://github.com/google-research/scenic
공식 코드https://github.com/gramuah/lvc
공식 코드https://github.com/heng-hw/spacap3d
공식 코드Spatiality-guided Transformer for 3D Dense Captioning on Point Clouds
https://github.com/idejie/3DSyn
공식 코드3D Vision and Language Pretraining with Large-Scale Synthetic Data
https://github.com/jcjohnson/densecap
공식 코드DenseCap: Fully Convolutional Localization Networks for Dense Captioning
https://github.com/johncaged/OPT_Questioner
공식 코드Enhancing Vision-Language Pre-Training with Jointly Learned Questioner and Dense Captioner
https://github.com/jxbbb/tod3cap
공식 코드https://github.com/leon1207/3dgctr
공식 코드https://github.com/linjieyangsc/densecap
공식 코드https://github.com/lrp-ivc/stsbench
공식 코드https://github.com/magic-research/PLLaVA
공식 코드PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning
https://github.com/open3da/ll3da
공식 코드LL3DA: Visual Interactive Instruction Tuning for Omni-3D Understanding, Reasoning, and Planning
https://github.com/renshuhuai-andy/timechat
공식 코드TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding
https://github.com/ttengwang/dense-video-captioning-pytorch
공식 코드Dense-Captioning Events in Videos: SYSU Submission to ActivityNet Challenge 2020
https://github.com/xiao-wen-sun/ossa
공식 코드Details Make a Difference: Object State-Sensitive Neurorobotic Task Planning
https://github.com/3d-vista/3D-VisTA
3D-VisTA: Pre-trained Transformer for 3D Vision and Text Alignment
https://github.com/HanNight/RE-T5
https://github.com/InnerPeace-Wu/im2p-tensorflow
A Hierarchical Approach for Generating Descriptive Image Paragraphs
https://github.com/Pointcept/GPT4Point
https://github.com/Yui010206/CREMA
https://github.com/akoepke/audio-retrieval-benchmark
https://github.com/chenxinpeng/im2p
A Hierarchical Approach for Generating Descriptive Image Paragraphs
https://github.com/emanuelevivoli/CoMix
ComiCap: A VLMs pipeline for dense captioning of Comic Panels
https://github.com/lntzm/cvpr24track-longvideo
TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.