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Indoor Scene Synthesis
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
ReSpace: Text-Driven 3D Scene Synthesis and Editing with Preference Alignment
FreeScene: Mixed Graph Diffusion for 3D Scene Synthesis from Free Prompts
CasaGPT: Cuboid Arrangement and Scene Assembly for Interior Design
SceneEval: Evaluating Semantic Coherence in Text-Conditioned 3D Indoor Scene Synthesis
CHOrD: Generation of Collision-Free, House-Scale, and Organized Digital Twins for 3D Indoor Scenes with Controllable Floor Plans and Optimal Layouts
Learning Object Placement Programs for Indoor Scene Synthesis with Iterative Self Training
Hierarchically-Structured Open-Vocabulary Indoor Scene Synthesis with Pre-trained Large Language Model
S-INF: Towards Realistic Indoor Scene Synthesis via Scene Implicit Neural Field
Forest2Seq: Revitalizing Order Prior for Sequential Indoor Scene Synthesis
Mixed Diffusion for 3D Indoor Scene Synthesis
InstructScene: Instruction-Driven 3D Indoor Scene Synthesis with Semantic Graph Prior
Style-Consistent 3D Indoor Scene Synthesis with Decoupled Objects
Language-driven Scene Synthesis using Multi-conditional Diffusion Model
LayoutGPT: Compositional Visual Planning and Generation with Large Language Models
RoomDreamer: Text-Driven 3D Indoor Scene Synthesis with Coherent Geometry and Texture
DiffuScene: Denoising Diffusion Models for Generative Indoor Scene Synthesis
CLIP-Layout: Style-Consistent Indoor Scene Synthesis with Semantic Furniture Embedding
Scene Synthesis from Human Motion
MIME: Human-Aware 3D Scene Generation
VRKitchen2.0-IndoorKit: A Tutorial for Augmented Indoor Scene Building in Omniverse
3D-Aware Indoor Scene Synthesis with Depth Priors
LUMINOUS: Indoor Scene Generation for Embodied AI Challenges
ATISS: Autoregressive Transformers for Indoor Scene Synthesis
End-to-End Optimization of Scene Layout
Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Models
Human-centric Indoor Scene Synthesis Using Stochastic Grammar
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.