activity
20222026
most citedTransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

ScenarioControl: Vision-Language Controllable Vectorized Latent Scenario Generation

Lili Gao, Yanbo Xu, William Koch +8

We introduce ScenarioControl, the first vision-language control mechanism for learned driving scenario generation. Given a text prompt or an input image, Scenario-Control synthesiz…

cs.LG2025

Temporal Score Rescaling for Temperature Sampling in Diffusion and Flow Models

Yanbo Xu, Yu Wu, Sungjae Park +2

We present a mechanism to steer the sampling diversity of denoising diffusion and flow matching models, allowing users to sample from a sharper or broader distribution than the tra…

cs.CV2024

Diverse Score Distillation

Yanbo Xu, Jayanth Srinivasa, Gaowen Liu +1

Score distillation of 2D diffusion models has proven to be a powerful mechanism to guide 3D optimization, for example enabling text-based 3D generation or single-view reconstructio…

cs.CV2023

FaceDNeRF: Semantics-Driven Face Reconstruction, Prompt Editing and Relighting with Diffusion Models

Hao Zhang, Yanbo Xu, Tianyuan Dai +2

The ability to create high-quality 3D faces from a single image has become increasingly important with wide applications in video conferencing, AR/VR, and advanced video editing in…

cs.CV2022★ 3 cited

TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing

Yanbo Xu, Yueqin Yin, Liming Jiang +5

Recent advances like StyleGAN have promoted the growth of controllable facial editing. To address its core challenge of attribute decoupling in a single latent space, attempts have…