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Scene Generation
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
$I^{2}$-World: Intra-Inter Tokenization for Efficient Dynamic 4D Scene Forecasting
Acquiring and Adapting Priors for Novel Tasks via Neural Meta-Architectures
Voyaging into Unbounded Dynamic Scenes from a Single View
XVerse: Consistent Multi-Subject Control of Identity and Semantic Attributes via DiT Modulation
From 2D to 3D Cognition: A Brief Survey of General World Models
DreamAnywhere: Object-Centric Panoramic 3D Scene Generation
WonderFree: Enhancing Novel View Quality and Cross-View Consistency for 3D Scene Exploration
CoCo4D: Comprehensive and Complex 4D Scene Generation
PrITTI: Primitive-based Generation of Controllable and Editable 3D Semantic Scenes
DreamCube: 3D Panorama Generation via Multi-plane Synchronization
Long-term Traffic Simulation with Interleaved Autoregressive Motion and Scenario Generation
4Real-Video-V2: Fused View-Time Attention and Feedforward Reconstruction for 4D Scene Generation
ImmerseGen: Agent-Guided Immersive World Generation with Alpha-Textured Proxies
X-Scene: Large-Scale Driving Scene Generation with High Fidelity and Flexible Controllability
EmbodiedGen: Towards a Generative 3D World Engine for Embodied Intelligence
NnD: Diffusion-based Generation of Physically-Nonnegative Objects
Genesis: Multimodal Driving Scene Generation with Spatio-Temporal and Cross-Modal Consistency
PIG: Physically-based Multi-Material Interaction with 3D Gaussians
AI-powered Contextual 3D Environment Generation: A Systematic Review
Voyager: Long-Range and World-Consistent Video Diffusion for Explorable 3D Scene Generation
FreeScene: Mixed Graph Diffusion for 3D Scene Synthesis from Free Prompts
ArtiScene: Language-Driven Artistic 3D Scene Generation Through Image Intermediary
Automatic Scene Generation: State-of-the-Art Techniques, Models, Datasets, Challenges, and Future Prospects
Agentic 3D Scene Generation with Spatially Contextualized VLMs
WonderPlay: Dynamic 3D Scene Generation from a Single Image and Actions
Constructing a 3D Town from a Single Image
3D Scene Generation: A Survey
Steerable Scene Generation with Post Training and Inference-Time Search
MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation
Scenethesis: A Language and Vision Agentic Framework for 3D Scene Generation
DualDiff: Dual-branch Diffusion Model for Autonomous Driving with Semantic Fusion
HoloTime: Taming Video Diffusion Models for Panoramic 4D Scene Generation
CasaGPT: Cuboid Arrangement and Scene Assembly for Interior Design
Recent Advance in 3D Object and Scene Generation: A Survey
WORLDMEM: Long-term Consistent World Simulation with Memory
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.