{"work":{"id":"b0c47120-5c87-4e79-8fe8-1be8e49f855f","openalex_id":null,"doi":null,"arxiv_id":"2309.03453","raw_key":null,"title":"SyncDreamer: Generating Multiview-consistent Images from a Single-view Image","authors":null,"authors_text":"Yuan Liu, Cheng Lin, Zijiao Zeng, Xiaoxiao Long, Lingjie Liu, Taku Komura","year":2023,"venue":"cs.CV","abstract":"In this paper, we present a novel diffusion model called that generates multiview-consistent images from a single-view image. Using pretrained large-scale 2D diffusion models, recent work Zero123 demonstrates the ability to generate plausible novel views from a single-view image of an object. However, maintaining consistency in geometry and colors for the generated images remains a challenge. To address this issue, we propose a synchronized multiview diffusion model that models the joint probability distribution of multiview images, enabling the generation of multiview-consistent images in a single reverse process. SyncDreamer synchronizes the intermediate states of all the generated images at every step of the reverse process through a 3D-aware feature attention mechanism that correlates the corresponding features across different views. Experiments show that SyncDreamer generates images with high consistency across different views, thus making it well-suited for various 3D generation tasks such as novel-view-synthesis, text-to-3D, and image-to-3D.","external_url":"https://arxiv.org/abs/2309.03453","cited_by_count":null,"metadata_source":"pith","metadata_fetched_at":"2026-05-25T04:40:23.993724+00:00","pith_arxiv_id":"2309.03453","created_at":"2026-05-10T08:12:26.759283+00:00","updated_at":"2026-06-05T21:23:00.469572+00:00","title_quality_ok":true,"display_title":"SyncDreamer: Generating Multiview-consistent Images from a Single-view Image","render_title":"SyncDreamer: Generating Multiview-consistent Images from a Single-view Image"},"hub":{"state":{"work_id":"b0c47120-5c87-4e79-8fe8-1be8e49f855f","tier":"hub","tier_reason":"10+ Pith inbound or 1,000+ external citations","pith_inbound_count":36,"external_cited_by_count":null,"distinct_field_count":3,"first_pith_cited_at":"2023-09-28T17:55:05+00:00","last_pith_cited_at":"2026-05-22T17:49:59+00:00","author_build_status":"not_needed","summary_status":"needed","contexts_status":"needed","graph_status":"needed","ask_index_status":"not_needed","reader_status":"not_needed","recognition_status":"not_needed","updated_at":"2026-06-07T08:41:25.987459+00:00","tier_text":"hub"},"tier":"hub","role_counts":[{"context_role":"background","n":10},{"context_role":"baseline","n":1}],"polarity_counts":[{"context_polarity":"background","n":9},{"context_polarity":"baseline","n":1},{"context_polarity":"unclear","n":1}],"runs":{},"summary":{},"graph":{},"authors":[]}}