3 papers
cs.CV2026
TrajectoryMover: Generative Movement of Object Trajectories in Videos
Kiran Chhatre, Hyeonho Jeong, Yulia Gryaditskaya +3
Generative video editing has enabled several intuitive editing operations for short video clips that would previously have been difficult to achieve, especially for non-expert edit…
cs.GR2025
RealMat: Realistic Materials with Diffusion and Reinforcement Learning
Xilong Zhou, Pedro Figueiredo, Miloš Hašan +5
Generative models for high-quality materials are particularly desirable to make 3D content authoring more accessible. However, the majority of material generation methods are train…
cs.GR2024
TexSliders: Diffusion-Based Texture Editing in CLIP Space
Julia Guerrero-Viu, Milos Hasan, Arthur Roullier +6
Generative models have enabled intuitive image creation and manipulation using natural language. In particular, diffusion models have recently shown remarkable results for natural…