works on

From the 1 of 52 linked papers with an AI index.

activity
20242026
collaborators

52 papers

cs.CV2026

EgoPlay: Event-Triggered Video Editing for Egocentric Streams

Jinjie Mai, Gordon Guocheng Qian, Willi Menapace +8

We introduce EgoPlay, an event-triggered video-to-video editor for egocentric streams, obtained by fine-tuning a pretrained V2V diffusion transformer on event-conditioned data buil…

cs.CV2026

RegHead: Non-Humanoid Head Blendshapes via Feed-Forward Registration

Jiahao Luo, Hao Zhang, Jianqi Chen +9

RegHead is a framework that builds semantic blendshape sets for animatable non‑humanoid head avatars using a fast feed‑forward registration model and a large dataset of shared expr…

cs.CV2026

SnapGen++: Unleashing Diffusion Transformers for Efficient High-Fidelity Image Generation on Edge Devices

Dongting Hu, Aarush Gupta, Magzhan Gabidolla +12

Recent advances in diffusion transformers (DiTs) have set new standards in image generation, yet remain impractical for on-device deployment due to their high computational and mem…

cs.CV2026

Prompt2Effect: Training-Free Image-to-Video Model Specialization via LoRA Generation

Xiaomeng Yang, Yanyu Li, Gordon Guocheng Qian +7

While personalizing Image-to-Video (I2V) diffusion models with specific visual effects is increasingly demanded for high-end generation, current practice requires training a separa…

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

MeshLoom: Feed-Forward Non-Rigid Registration of Mesh Sequences

Jianqi Chen, Jiraphon Yenphraphai, Xiangjun Tang +4

We present MeshLoom, a feed-forward registration network that directly reconstructs vertex deformations across mesh sequences. Our approach advances non-rigid registration beyond e…