CLIP-Layout: Style-Consistent Indoor Scene Synthesis with Semantic Furniture Embedding Article Swipe

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Jingyu Liu , Wenhan Xiong , Ian Jones , Yixin Nie , Anchit Gupta , Barlas Oğuz ·

YOU? · · 2023 · Open Access · · DOI: https://doi.org/10.48550/arxiv.2303.03565

Indoor scene synthesis involves automatically picking and placing furniture appropriately on a floor plan, so that the scene looks realistic and is functionally plausible. Such scenes can serve as homes for immersive 3D experiences, or be used to train embodied agents. Existing methods for this task rely on labeled categories of furniture, e.g. bed, chair or table, to generate contextually relevant combinations of furniture. Whether heuristic or learned, these methods ignore instance-level visual attributes of objects, and as a result may produce visually less coherent scenes. In this paper, we introduce an auto-regressive scene model which can output instance-level predictions, using general purpose image embedding based on CLIP. This allows us to learn visual correspondences such as matching color and style, and produce more functionally plausible and aesthetically pleasing scenes. Evaluated on the 3D-FRONT dataset, our model achieves SOTA results in scene synthesis and improves auto-completion metrics by over 50%. Moreover, our embedding-based approach enables zero-shot text-guided scene synthesis and editing, which easily generalizes to furniture not seen during training.

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Computer science Embedding Artificial intelligence Task (project management) Floor plan Plan (archaeology) Computer vision Heuristic Matching (statistics) Embodied cognition Style (visual arts) Table (database) Computer graphics (images) Engineering drawing Visual arts Mathematics Engineering Systems engineering Archaeology Data mining Art Statistics History

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Type: preprint
Language: en
Landing Page: http://arxiv.org/abs/2303.03565
PDF: https://arxiv.org/pdf/2303.03565
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Cited By: 1
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DOI: https://doi.org/10.48550/arxiv.2303.03565

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Title: CLIP-Layout: Style-Consistent Indoor Scene Synthesis with Semantic Furniture Embedding

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Language: en

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Publication year: 2023

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Publication date: 2023-03-07

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Authors: Jingyu Liu, Wenhan Xiong, Ian Jones, Yixin Nie, Anchit Gupta, Barlas Oğuz

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Concepts: Computer science, Embedding, Artificial intelligence, Task (project management), Floor plan, Plan (archaeology), Computer vision, Heuristic, Matching (statistics), Embodied cognition, Style (visual arts), Table (database), Computer graphics (images), Engineering drawing, Visual arts, Mathematics, Engineering, Systems engineering, Archaeology, Data mining, Art, Statistics, History

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Cited by: 1

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abstract_inverted_index.embodied	39
abstract_inverted_index.generate	58
abstract_inverted_index.improves	144
abstract_inverted_index.involves	3
abstract_inverted_index.learned,	67
abstract_inverted_index.matching	117
abstract_inverted_index.objects,	75
abstract_inverted_index.pleasing	128
abstract_inverted_index.relevant	60
abstract_inverted_index.visually	82
abstract_inverted_index.Evaluated	130
abstract_inverted_index.Moreover,	150
abstract_inverted_index.embedding	104
abstract_inverted_index.furniture	8, 165
abstract_inverted_index.heuristic	65
abstract_inverted_index.immersive	31
abstract_inverted_index.introduce	90
abstract_inverted_index.plausible	125
abstract_inverted_index.realistic	19
abstract_inverted_index.synthesis	2, 142, 158
abstract_inverted_index.training.	169
abstract_inverted_index.zero-shot	155
abstract_inverted_index.attributes	73
abstract_inverted_index.categories	49
abstract_inverted_index.furniture,	51
abstract_inverted_index.furniture.	63
abstract_inverted_index.plausible.	23
abstract_inverted_index.generalizes	163
abstract_inverted_index.text-guided	156
abstract_inverted_index.combinations	61
abstract_inverted_index.contextually	59
abstract_inverted_index.experiences,	33
abstract_inverted_index.functionally	22, 124
abstract_inverted_index.predictions,	99
abstract_inverted_index.aesthetically	127
abstract_inverted_index.appropriately	9
abstract_inverted_index.automatically	4
abstract_inverted_index.instance-level	71, 98
abstract_inverted_index.auto-completion	145
abstract_inverted_index.auto-regressive	92
abstract_inverted_index.correspondences	114
abstract_inverted_index.embedding-based	152
cited_by_percentile_year
countries_distinct_count	0
institutions_distinct_count	6
sustainable_development_goals[0].id	https://metadata.un.org/sdg/11
sustainable_development_goals[0].score	0.7799999713897705
sustainable_development_goals[0].display_name	Sustainable cities and communities
citation_normalized_percentile