From the 1 of 14 linked papers with an AI index.
14 papers
Wonder: Video World Model Done Better
Jiacong Xu, Hanwen Jiang, Zhixin Shu +3
Wonder is a video world model that lets users explore a generated scene in real time by moving a virtual camera, using a dense coordinate conditioning and a sparse attention memory…
MotiMotion: Motion-Controlled Video Generation with Visual Reasoning
Lee Hsin-Ying, Hanwen Jiang, Yiqun Mei +3
Current motion-controlled image-to-video generation models rigidly follow user-provided trajectories that are often sparse, imprecise, and causally incomplete. Such reliance often…
TokenLight: Precise Lighting Control in Images using Attribute Tokens
Sumit Chaturvedi, Yannick Hold-Geoffroy, Mengwei Ren +5
This paper presents a method for image relighting that enables precise and continuous control over multiple illumination attributes in a photograph. We formulate relighting as a co…
LightMover: Generative Light Movement with Color and Intensity Controls
Gengze Zhou, Tianyu Wang, Soo Ye Kim +7
We present LightMover, a framework for controllable light manipulation in single images that leverages video diffusion priors to produce physically plausible illumination changes w…
VividCam: Learning Unconventional Camera Motions from Virtual Synthetic Videos
Qiucheng Wu, Handong Zhao, Zhixin Shu +3
Although recent text-to-video generative models are getting more capable of following external camera controls, imposed by either text descriptions or camera trajectories, they sti…
GaSLight: Gaussian Splats for Spatially-Varying Lighting in HDR
Christophe Bolduc, Yannick Hold-Geoffroy, Zhixin Shu +1
We present GaSLight, a method that generates spatially-varying lighting from regular images. Our method proposes using HDR Gaussian Splats as light source representation, marking t…