https://github.com/byeongjun-park/HarmonyView
공식 코드HarmonyView: Harmonizing Consistency and Diversity in One-Image-to-3D
Papers with Code 아카이브
3D Generation
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/c8241998/humanrig
공식 코드HumanRig: Learning Automatic Rigging for Humanoid Character in a Large Scale Dataset
https://github.com/chaofantao/autoregressive-models-in-vision-survey
공식 코드https://github.com/chaoyuesong/3d-corenet
공식 코드3D Pose Transfer with Correspondence Learning and Mesh Refinement
https://github.com/deepseek-ai/dreamcraft3d
공식 코드DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior
https://github.com/dptech-corp/uni-3dar
공식 코드Uni-3DAR: Unified 3D Generation and Understanding via Autoregression on Compressed Spatial Tokens
https://github.com/dreamgaussian/dreamgaussian
공식 코드DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation
https://github.com/dufengfeng/FB-4D
공식 코드FB-4D: Spatial-Temporal Coherent Dynamic 3D Content Generation with Feature Banks
https://github.com/eckertzhang/text2nerf
공식 코드Text2NeRF: Text-Driven 3D Scene Generation with Neural Radiance Fields
https://github.com/edward1997104/Wavelet-Generation
공식 코드https://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/fei960922/GPointNet
공식 코드https://github.com/florinshen/vista3d
공식 코드https://github.com/fudan-zvg/Brain3D
공식 코드https://github.com/fudan-zvg/diffusion-square
공식 코드https://github.com/fudan-zvg/pgc-3d
공식 코드Enhancing High-Resolution 3D Generation through Pixel-wise Gradient Clipping
https://github.com/fudan-zvg/tet-splatting
공식 코드https://github.com/gohyojun15/SplatFlow
공식 코드SplatFlow: Multi-View Rectified Flow Model for 3D Gaussian Splatting Synthesis
https://github.com/gsgen3d/gsgen
공식 코드https://github.com/guytevet/motion-diffusion-model
공식 코드https://github.com/hailsong/s3d
공식 코드https://github.com/hansenhuang0823/placiddreamer
공식 코드https://github.com/heheyas/v3d
공식 코드https://github.com/hse1032/Adversarial-Generation-of-Hierarchical-Gaussians-for-3D-Generative-Model
공식 코드GSGAN: Adversarial Learning for Hierarchical Generation of 3D Gaussian Splats
https://github.com/hzxie/GaussianCity
공식 코드GaussianCity: Generative Gaussian Splatting for Unbounded 3D City Generation
https://github.com/icoz69/styleavatar3d
공식 코드StyleAvatar3D: Leveraging Image-Text Diffusion Models for High-Fidelity 3D Avatar Generation
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/jamesyjl/shapellm-omni
공식 코드ShapeLLM-Omni: A Native Multimodal LLM for 3D Generation and Understanding
https://github.com/johannwyh/meat
공식 코드MEAT: Multiview Diffusion Model for Human Generation on Megapixels with Mesh Attention
https://github.com/junwuzhang19/repaint123
공식 코드https://github.com/kamwoh/chirpy3d
공식 코드Chirpy3D: Creative Fine-grained 3D Object Fabrication via Part Sampling
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
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.