https://github.com/eckertzhang/text2nerf
공식 코드Text2NeRF: Text-Driven 3D Scene Generation with Neural Radiance Fields
Papers with Code 아카이브
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/eladrich/latent-nerf
공식 코드Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures
https://github.com/envision-research/luciddreamer
공식 코드LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matching
https://github.com/facebookresearch/viewdiff
공식 코드ViewDiff: 3D-Consistent Image Generation with Text-to-Image Models
https://github.com/fudan-zvg/efficient4d
공식 코드Efficient4D: Fast Dynamic 3D Object Generation from a Single-view Video
https://github.com/generalroboticslab/Text2Robot
공식 코드Text2Robot: Evolutionary Robot Design from Text Descriptions
https://github.com/gsgen3d/gsgen
공식 코드https://github.com/hansenhuang0823/placiddreamer
공식 코드https://github.com/hustvl/GaussianDreamer
공식 코드GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models
https://github.com/imlixinyang/director3d
공식 코드Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text
https://github.com/isee-laboratory/dreamview
공식 코드DreamView: Injecting View-specific Text Guidance into Text-to-3D Generation
https://github.com/itaychachy/RewardSDS
공식 코드RewardSDS: Aligning Score Distillation via Reward-Weighted Sampling
https://github.com/junshutang/Make-It-3D
공식 코드Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior
https://github.com/justimyhxu/grm
공식 코드GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation
https://github.com/kcshum/pose-conditioned-NeRF-object-fusion
공식 코드Language-driven Object Fusion into Neural Radiance Fields with Pose-Conditioned Dataset Updates
https://github.com/lamm-mit/Cephalo
공식 코드Cephalo: Multi-Modal Vision-Language Models for Bio-Inspired Materials Analysis and Design
https://github.com/lamm-mit/Cephalo-Phi-3-MoE
공식 코드Cephalo: Multi-Modal Vision-Language Models for Bio-Inspired Materials Analysis and Design
https://github.com/liuff19/Sherpa3D
공식 코드Sherpa3D: Boosting High-Fidelity Text-to-3D Generation via Coarse 3D Prior
https://github.com/liuyuan-pal/syncdreamer
공식 코드SyncDreamer: Generating Multiview-consistent Images from a Single-view Image
https://github.com/lukashoel/text2room
공식 코드Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models
https://github.com/lutao2021/BrightDreamer
공식 코드BrightDreamer: Generic 3D Gaussian Generative Framework for Fast Text-to-3D Synthesis
https://github.com/lutao2021/DiMeR
공식 코드https://github.com/ming1993li/instant3dcodes
공식 코드https://github.com/nv-tlabs/XCube
공식 코드XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies
https://github.com/nzantout/sort3d
공식 코드https://github.com/oneThousand1000/Portrait3D
공식 코드https://github.com/onethousand1000/animportrait3d
공식 코드Text-based Animatable 3D Avatars with Morphable Model Alignment
https://github.com/orangesodahub/scenecraft
공식 코드https://github.com/pals-ttic/sjc
공식 코드Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation
https://github.com/perf-project/PeRF
공식 코드PERF: Panoramic Neural Radiance Field from a Single Panorama
https://github.com/pkunliu/isotropic3d
공식 코드Isotropic3D: Image-to-3D Generation Based on a Single CLIP Embedding
https://github.com/qihao067/direct3d
공식 코드DIRECT-3D: Learning Direct Text-to-3D Generation on Massive Noisy 3D Data
https://github.com/ruihangao/tactiledreamfusion
공식 코드Tactile DreamFusion: Exploiting Tactile Sensing for 3D Generation
https://github.com/sail-sg/consistent3d
공식 코드https://github.com/sisidai/InterFusion
공식 코드InterFusion: Text-Driven Generation of 3D Human-Object Interaction
https://github.com/theericma/scaledreamer
공식 코드ScaleDreamer: Scalable Text-to-3D Synthesis with Asynchronous Score Distillation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.