collaborators

5 papers

cs.CV2026

CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation

Sharath Girish, Tsai-Shien Chen, Zhikang Dong +4

Cinematic video depicts multiple subjects acting or interacting at specific moments, captured with deliberate camera movement, and stitched together by shot transitions. Together,…

cs.CV2026

Omni-Attribute: Open-vocabulary Attribute Encoder for Visual Concept Personalization

Tsai-Shien Chen, Aliaksandr Siarohin, Gordon Guocheng Qian +9

Visual concept personalization aims to transfer only specific image attributes, such as identity, expression, lighting, and style, into unseen contexts. However, existing methods r…

cs.CV2025

AlcheMinT: Fine-grained Temporal Control for Multi-Reference Consistent Video Generation

Sharath Girish, Viacheslav Ivanov, Tsai-Shien Chen +3

Recent advances in subject-driven video generation with large diffusion models have enabled personalized content synthesis conditioned on user-provided subjects. However, existing…

cs.CV2025

Canvas-to-Image: Compositional Image Generation with Multimodal Controls

Yusuf Dalva, Guocheng Gordon Qian, Maya Goldenberg +5

While modern diffusion models excel at generating high-quality and diverse images, they still struggle with high-fidelity compositional and multimodal control, particularly when us…

cs.CV2025

LayerComposer: Multi-Human Personalized Generation via Layered Canvas

Guocheng Gordon Qian, Ruihang Zhang, Tsai-Shien Chen +10

Despite their impressive visual fidelity, existing personalized image generators lack interactive control over spatial composition and scale poorly to multiple humans. To address t…