Scholar
Yichun Shi
Google Scholar ID: RXZChV0AAAAJ
ByteDance
Computer Vision
Machine Learning
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Citations & Impact
All-time
Citations
3,467
H-index
25
i10-index
31
Publications
20
Co-authors
0
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Publications
11 items
VTok: A Unified Video Tokenizer with Decoupled Spatial-Temporal Latents
2026
Cited
0
RapidMV: Leveraging Spatio-Angular Representations for Efficient and Consistent Text-to-Multi-View Synthesis
2025
Cited
0
Seedream 4.0: Toward Next-generation Multimodal Image Generation
2025
Cited
0
VINCIE: Unlocking In-context Image Editing from Video
2025
Cited
0
SeedEdit 3.0: Fast and High-Quality Generative Image Editing
2025
Cited
0
ByteMorph: Benchmarking Instruction-Guided Image Editing with Non-Rigid Motions
2025
Cited
0
Seedream 3.0 Technical Report
2025
Cited
0
Seedream 2.0: A Native Chinese-English Bilingual Image Generation Foundation Model
2025
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0
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Resume (English only)
Academic Achievements
SeedEdit: Align Image Re-generation to Image Editing
MVDream: Multi-view Diffusion for 3D Generation (ICLR, 2024)
PAniC-3D: Stylized Single-view 3D Reconstruction from Portraits of Anime Characters (CVPR, 2023)
PanoHead: Geometry-Aware 3D Full-Head Synthesis in 360 (CVPR, 2023)
OmniAvatar: Geometry-Guided Controllable 3D Head Synthesis (CVPR, 2023)
IDE-3D: Interactive Disentangled Editing for High-Resolution 3D-aware Portrait Synthesis (ACM Trans. on Graphics, SIGGRAPH Asia, 2022)
SemanticStyleGAN: Learning Compositonal Generative Priors for Controllable Image Synthesis and Editing (CVPR, 2022)
Lifting 2D StyleGAN for 3D-aware Face Generation (CVPR, 2021)
Probabilistic Face Embeddings (ICCV, 2019)
WarpGAN: Automatic Caricature Generation (CVPR, 2019)
Background
Currently a research scientist at ByteDance Inc (Tiktok). Research interests include Generative Models and Neural Rendering, particularly image, video, and 3D generation.
Co-authors
0 total
Co-authors: 0 (list not available)
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