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Yixuan Ren I am a final-year Ph.D. student in the Department of Computer Science at the University of Maryland, College Park, advised by Prof. Abhinav Shrivastava. I also received my M.S. degree here. Prior to that, I obtained my B.E. degree from Tsinghua University. My research lies in the intersection of Computer Vision and Generative AI, with focuses on image and video synthesis and editing. I am broadly interested in various generative modeling techniques and visual tokenization for generative purposes. I am actively seeking full-time opportunities starting early or mid 2026. If you think I could be a good fit, please don't hesitate to reach out! Email / Resume / Google Scholar / LinkedIn / Bluesky |
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Experience
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Meta GenAI/MSL, 2025
Adobe Research, 2023
ByteDance, 2021
Publications* equal contribution † project lead |
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Direct Evolution of Instructional Image Editing
Yixuan Ren, Mannat Singh†, Saketh Rambhatla, Andrew Brown, Arun Mallya, Abhinav Shrivastava Under Review, 2026 project page (coming soon) Flow directly from source to target images for efficient inversion-free instructional image editing. |
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NeRV-Diffusion: Diffuse Implicit Neural Representation for Video Synthesis
Yixuan Ren, Hanyu Wang, Hao Chen, Bo He, Abhinav Shrivastava Under Review, 2025 project page / arxiv Generate network weights via a diffusion model, which parameterize an implicit neural representation and self-decode to synthesize a video. |
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Characterizing Motion Encoding in Video Diffusion Timesteps
Vatsal Baherwani*, Yixuan Ren*, Abhinav Shrivastava Under Review, 2025 project page / arxiv Characterize how temporal information is constructed along denoising timesteps, toward architecture-agnostic video motion customization. |
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LARP: Tokenizing Videos with a Learned Autoregressive Generative Prior
Hanyu Wang, Saksham Suri, Yixuan Ren, Hao Chen, Abhinav Shrivastava ICLR, 2025 (Oral) project page / arxiv / code A holistic video tokenizer that integrates a light weight autoregressive transformer to align the latent space with AR generative models. |
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Customize-A-Video: One-Shot Motion Customization of Text-to-Video Diffusion Models
Yixuan Ren, Yang Zhou†, Jimei Yang, Jing Shi, Difan Liu, Feng Liu, Mingi Kwon, Abhinav Shrivastava ECCV, 2024 project page / paper / arxiv Customize pre-trained video diffusion models from a single reference video and adapt its motion to new subjects and scenes with temporal diversity. |
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Content-Adaptive Image Color Editing with Auxiliary Color Restoration Tasks
Yixuan Ren, Jing Shi†, Zhifei Zhang†, Yifei Fan, Zhe Lin, Bo He, Abhinav Shrivastava WACV, 2024 paper / supplementary Edit the color tone of an image with the editing styles spatially adaptive to its content. |
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Towards Scalable Neural Representation for Diverse Videos
Bo He, Xitong Yang, Hanyu Wang, Zuxuan Wu, Hao Chen, Shuaiyi Huang, Yixuan Ren, Ser-Nam Lim, Abhinav Shrivastava CVPR, 2023 project page / arxiv / code A video implicit neural representation that encodes large-scale and diverse videos faithfully and efficiently. |
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NeRV: Neural Representations for Videos
Hao Chen, Bo He, Hanyu Wang, Yixuan Ren, Ser-Nam Lim, Abhinav Shrivastava NeurIPS, 2021 project page / arxiv / code A frame-wise video implicit neural representation that encodes a video into a dedicated neural network's parameters |
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StEP: Style-based Encoder Pre-training for Multi-modal Image Synthesis
Moustafa Meshry, Yixuan Ren, Larry S. Davis, Abhinav Shrivastava CVPR, 2021 project page / paper / arxiv / code A two-stage MMI2I method via style encoder pre-training for simplifed losses and stablized training. |
Services
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Thanks Jon Barron for the template. |