collaborators

26 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.CV2026

ActionParty: Multi-Subject Action Binding in Generative Video Games

Alexander Pondaven, Ziyi Wu, Igor Gilitschenski +4

Recent advances in video diffusion have enabled the development of "world models" capable of simulating interactive environments. However, these models are largely restricted to si…

cs.CV2026

One Model, Many Budgets: Elastic Latent Interfaces for Diffusion Transformers

Moayed Haji-Ali, Willi Menapace, Ivan Skorokhodov +6

Diffusion transformers (DiTs) achieve high generative quality but lock FLOPs to image resolution, limiting principled latency-quality trade-offs, and allocate computation uniformly…

cs.CV2026

S2DiT: Sandwich Diffusion Transformer for Mobile Streaming Video Generation

Lin Zhao, Yushu Wu, Aleksei Lebedev +11

Diffusion Transformers (DiTs) have recently improved video generation quality. However, their heavy computational cost makes real-time or on-device generation infeasible. In this w…

cs.CV2026

OmniView: An All-Seeing Diffusion Model for 3D and 4D View Synthesis

Xiang Fan, Sharath Girish, Vivek Ramanujan +6

Prior approaches injecting camera control into diffusion models have focused on specific subsets of 4D consistency tasks: novel view synthesis, text-to-video with camera control, i…