Papers with Code 아카이브

Indoor Scene Synthesis

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평가표

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보존된 평가 기록

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/SiyuanQi/human-centric-scene-synthesis

공식 코드

Human-centric Indoor Scene Synthesis Using Stochastic Grammar

https://github.com/aluo-x/3D_SLN

공식 코드

End-to-End Optimization of Scene Layout

https://github.com/amazon-research/indoor-scene-generation-eai

공식 코드

LUMINOUS: Indoor Scene Generation for Embodied AI Challenges

https://github.com/andvg3/LSDM

공식 코드

Language-driven Scene Synthesis using Multi-conditional Diffusion Model

https://github.com/chenguolin/InstructScene

공식 코드

InstructScene: Instruction-Driven 3D Indoor Scene Synthesis with Semantic Graph Prior

https://github.com/mit-spark/midiffusion

공식 코드

Mixed Diffusion for 3D Indoor Scene Synthesis

https://github.com/nv-tlabs/atiss

공식 코드

ATISS: Autoregressive Transformers for Indoor Scene Synthesis

https://github.com/weixi-feng/layoutgpt

공식 코드

LayoutGPT: Compositional Visual Planning and Generation with Large Language Models

https://github.com/zixiliang/s-inf

공식 코드

S-INF: Towards Realistic Indoor Scene Synthesis via Scene Implicit Neural Field

https://github.com/MindSpore-scientific-2/code-5/tree/main/Luminance-Guided-Chrominance-Enhancement-for-HEVC-Intra-Coding

LUMINOUS: Indoor Scene Generation for Embodied AI Challenges

https://github.com/MindSpore-scientific/code-1/tree/main/Luminance-Guided-Chrominance-Enhancement-for-HEVC-Intra-Coding

LUMINOUS: Indoor Scene Generation for Embodied AI Challenges

https://github.com/MindSpore-scientific/code-10/tree/main/Luminance-Guided-Chrominance-Enhancement-for-HEVC-Intra-Coding

LUMINOUS: Indoor Scene Generation for Embodied AI Challenges

https://github.com/tangjiapeng/diffuscene

Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Models

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.