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Text to 3D
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Task involves generating 3D objects based on the text prompt provided to the system.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/threestudio-project/threestudio
공식 코드Debiasing Scores and Prompts of 2D Diffusion for View-consistent Text-to-3D Generation
https://github.com/trapoom555/gradeadreamer
공식 코드GradeADreamer: Enhanced Text-to-3D Generation Using Gaussian Splatting and Multi-View Diffusion
https://github.com/tyhuang0428/dreamcontrol
공식 코드DreamControl: Control-Based Text-to-3D Generation with 3D Self-Prior
https://github.com/ucsc-vlaa/mixcon3d
공식 코드Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-training
https://github.com/vinairesearch/swiftbrush
공식 코드SwiftBrush: One-Step Text-to-Image Diffusion Model with Variational Score Distillation
https://github.com/wakals/gascol
공식 코드Apply Hierarchical-Chain-of-Generation to Complex Attributes Text-to-3D Generation
https://github.com/walkermitty/emoava
공식 코드Towards Rich Emotions in 3D Avatars: A Text-to-3D Avatar Generation Benchmark
https://github.com/wu-cvgl/mvcontrol
공식 코드MVControl: Adding Conditional Control to Multi-view Diffusion for Controllable Text-to-3D Generation
https://github.com/wyysf-98/SweetDreamer
공식 코드SweetDreamer: Aligning Geometric Priors in 2D Diffusion for Consistent Text-to-3D
https://github.com/xingy038/dreamer-xl
공식 코드Dreamer XL: Towards High-Resolution Text-to-3D Generation via Trajectory Score Matching
https://github.com/xmu-xiaoma666/X-Dreamer
공식 코드https://github.com/yangxiaofeng/rectified_flow_prior
공식 코드https://github.com/yccyenchicheng/SDFusion
공식 코드SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation
https://github.com/yjhboy/hyper3dg
공식 코드https://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/zengbohan0217/ipdreamer
공식 코드IPDreamer: Appearance-Controllable 3D Object Generation with Complex Image Prompts
https://github.com/zhuhao-nju/describe3d
공식 코드High-Fidelity 3D Face Generation from Natural Language Descriptions
https://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://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
https://github.com/Mathux/TMR
TMR: Text-to-Motion Retrieval Using Contrastive 3D Human Motion Synthesis
https://github.com/SusungHong/IF-DreamFusion
https://github.com/ashawkey/fantasia3d.unofficial
Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation
https://github.com/byeongjun-park/HarmonyView
SyncDreamer: Generating Multiview-consistent Images from a Single-view Image
https://github.com/chenguolin/DiffSplat
Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model
https://github.com/chenqi008/HPGM
Intelligent Home 3D: Automatic 3D-House Design from Linguistic Descriptions Only
https://github.com/chinhsuanwu/dreamfusionacc
https://github.com/cyjdlhy/DreamInit
A General Framework to Boost 3D GS Initialization for Text-to-3D Generation by Lexical Richness
https://github.com/drexubery/viewcrafter
ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis
https://github.com/gnobitab/instaflow
https://github.com/guochengqian/magic123
Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior
https://github.com/leffff/FlowModels
https://github.com/leffff/flow-matching-experiments
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