https://github.com/yehli/xmodaler
공식 코드Semantic-Conditional Diffusion Networks for Image Captioning
Papers with Code 아카이브
Text to Image Generation
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/yilundu/reduce_reuse_recycle
공식 코드Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC
https://github.com/yingkaid/jailfuzzer
공식 코드https://github.com/yjhboy/hyper3dg
공식 코드https://github.com/yonatanbitton/wysiwyr
공식 코드What You See is What You Read? Improving Text-Image Alignment Evaluation
https://github.com/yonghaoxu/txt2img-mhn
공식 코드Txt2Img-MHN: Remote Sensing Image Generation from Text Using Modern Hopfield Networks
https://github.com/yonseivnl/cmota
공식 코드Story Visualization by Online Text Augmentation with Context Memory
https://github.com/yueyang1996/z-lavi
공식 코드Z-LaVI: Zero-Shot Language Solver Fueled by Visual Imagination
https://github.com/yuhui-zh15/c3
공식 코드Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal Data
https://github.com/yujielu10/mpp
공식 코드Multimodal Procedural Planning via Dual Text-Image Prompting
https://github.com/yukun-huang/DreamWaltz-G
공식 코드DreamWaltz-G: Expressive 3D Gaussian Avatars from Skeleton-Guided 2D Diffusion
https://github.com/yuliangxiu/puzzleavatar
공식 코드https://github.com/yuqifan1117/labal-anything-pipeline
공식 코드Interactive Data Synthesis for Systematic Vision Adaptation via LLMs-AIGCs Collaboration
https://github.com/yutong-zhou-cv/awesome-text-to-image
공식 코드https://github.com/yuvalkirstain/pickscore
공식 코드Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation
https://github.com/yuxie11/R2D2
공식 코드https://github.com/zdxdsw/skewed_relations_t2i
공식 코드Skews in the Phenomenon Space Hinder Generalization in Text-to-Image Generation
https://github.com/zengbohan0217/ipdreamer
공식 코드IPDreamer: Appearance-Controllable 3D Object Generation with Complex Image Prompts
https://github.com/zhangce01/degf
공식 코드https://github.com/zhaorui-tan/pdf-gan
공식 코드SSD: Towards Better Text-Image Consistency Metric in Text-to-Image Generation
https://github.com/zhaoyingpan/prompt_log_analysis
공식 코드https://github.com/zhen-dong/magic-me
공식 코드https://github.com/zhijie-group/unicms
공식 코드UniCMs: A Unified Consistency Model For Efficient Multimodal Generation and Understanding
https://github.com/zhjohnchan/bert-clip-synesthesia
공식 코드On the Difference of BERT-style and CLIP-style Text Encoders
https://github.com/zhongzero/multi-modal-prompt
공식 코드User-Friendly Customized Generation with Multi-Modal Prompts
https://github.com/zhuhao-nju/describe3d
공식 코드High-Fidelity 3D Face Generation from Natural Language Descriptions
https://github.com/zizhao-hu/l-mlp
공식 코드Lateralization MLP: A Simple Brain-inspired Architecture for Diffusion
https://github.com/zoie-ui/ai-generated-image-detection
공식 코드AI-Generated Image Detection using a Cross-Attention Enhanced Dual-Stream Network
https://github.com/zrrskywalker/personalize-sam
공식 코드https://github.com/zyj-2000/3dgcqa
공식 코드3DGCQA: A Quality Assessment Database for 3D AI-Generated Contents
https://github.com/zymvszym/ExactDreamer
공식 코드ExactDreamer: High-Fidelity Text-to-3D Content Creation via Exact Score Matching
https://github.com/zyxElsa/IP-Prompter
공식 코드IP-Prompter: Training-Free Theme-Specific Image Generation via Dynamic Visual Prompting
https://github.com/zzjchen/tailored-visions
공식 코드Tailored Visions: Enhancing Text-to-Image Generation with Personalized Prompt Rewriting
https://github.com/zzw-zwzhang/awesome-of-multimodal-dialogue-models
공식 코드Accountable Textual-Visual Chat Learns to Reject Human Instructions in Image Re-creation
https://huggingface.co/datasets/sankalpsinha77/MARVEL-40M
공식 코드MARVEL-40M+: Multi-Level Visual Elaboration for High-Fidelity Text-to-3D Content Creation
https://huggingface.co/lamm-mit/cephalo
공식 코드Cephalo: Multi-Modal Vision-Language Models for Bio-Inspired Materials Analysis and Design
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.