Yixuan Ren

Direct Evolution of Instructional Image Editing

Yixuan Ren, Saketh Rambhatla, Andrew Brown, Arun Mallya, Abhinav Shrivastava, Mannat Singh^†

2026

Flow directly from source to target images for efficient inversion-free instructional image editing.

IDEAL: In-DEpth ALignment Makes A Discrete Representation AutoEncoder

Yitong Chen, Zijie Diao, Junke Wang^†, Lingyu Kong, Yixuan Ren, Bo He, Yu-Gang Jiang, Zuxuan Wu

NeurIPS 2026

arxiv code

A discrete representation autoencoder with hierarchical vision alignment for generative image tokenization.

NeRV-Diffusion: Diffuse Implicit Neural Representation for Video Synthesis

Yixuan Ren, Hanyu Wang, Hao Chen, Bo He, Abhinav Shrivastava

ICLR 2026

project page arxiv

Generate network weights via a diffusion model, which parameterize an implicit neural representation and self-decode to synthesize a video.

Timestep-Constrained One-Shot Video Motion Customization

Vatsal Baherwani, Yixuan Ren^†, Abhinav Shrivastava

CVPRW 2026

project page arxiv

Single-stage one-shot video motion customization via constraining within temporal-dominant early denoising timesteps.

All-in-One Conditioning for Text-to-Image Synthesis

Hirunima Jayasekara, Chuong Huynh^†, Yixuan Ren^†, Christabel Acquaye, Abhinav Shrivastava

ICPR 2026

arxiv

A zero-shot, scene graph-based conditioning mechanism for compositional text-to-image generation with soft visual guidance.

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.

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 arxiv

Customize pre-trained video diffusion models from a single reference video and adapt its motion to new subjects and scenes with temporal diversity.

Content-Aware 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.

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.

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

StEP: Style-based Encoder Pre-training for Multi-modal Image Synthesis

Moustafa Meshry, Yixuan Ren, Larry S. Davis, Abhinav Shrivastava

CVPR 2021

project page arxiv code

A two-stage MMI2I method via style encoder pre-training for simplifed losses and stablized training.

Publications

Direct Evolution of Instructional Image Editing

IDEAL: In-DEpth ALignment Makes A Discrete Representation AutoEncoder

NeRV-Diffusion: Diffuse Implicit Neural Representation for Video Synthesis

Timestep-Constrained One-Shot Video Motion Customization

All-in-One Conditioning for Text-to-Image Synthesis

LARP: Tokenizing Videos with a Learned Autoregressive Generative Prior

Customize-A-Video: One-Shot Motion Customization of Text-to-Video Diffusion Models

Content-Aware Image Color Editing with Auxiliary Color Restoration Tasks

Towards Scalable Neural Representation for Diverse Videos

NeRV: Neural Representations for Videos

StEP: Style-based Encoder Pre-training for Multi-modal Image Synthesis

Services