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cs.CV2026

Ms. Forcing: Efficient Streaming Video Generation with Multi-Scale Patchification and Attention

Zekun Li, Xiaoyan Cong, Hongyu Li +5

Streaming video diffusion models have made substantial progress toward interactive and dynamic world simulation, but the nested autoregressive and denoising loops of conventional n…

cs.CV2026

Appearance Pointers -- Multimodal Region Control of Diffusion Transformers

Rahul Sajnani, Yulia Gryaditskaya, Radomír Měch +2

Controllable image generation remains challenging for creative professionals, who often require precise regional control over materials, object identities, and spatial arrangements…

cs.CV2026

UMO: Unified In-Context Learning Unlocks Motion Foundation Model Priors

Xiaoyan Cong, Zekun Li, Zhiyang Dou +9

Large-scale foundation models (LFMs) have recently made impressive progress in text-to-motion generation by learning strong generative priors from massive 3D human motion datasets…

cs.CV2026

PackUV: Packed Gaussian UV Maps for 4D Volumetric Video

Aashish Rai, Angela Xing, Anushka Agarwal +5

Volumetric videos offer immersive 4D experiences, but remain difficult to reconstruct, store, and stream at scale. Existing Gaussian Splatting based methods achieve high-quality re…

cs.CV2025

GeoDiffuser: Geometry-Based Image Editing with Diffusion Models

Rahul Sajnani, Jeroen Vanbaar, Jie Min +2

The success of image generative models has enabled us to build methods that can edit images based on text or other user input. However, these methods are bespoke, imprecise, requir…

cs.CV2024

EgoSonics: Generating Synchronized Audio for Silent Egocentric Videos

Aashish Rai, Srinath Sridhar

We introduce EgoSonics, a method to generate semantically meaningful and synchronized audio tracks conditioned on silent egocentric videos. Generating audio for silent egocentric v…