15 citations · 16 across the 7 of their papers we have counts for
4 papers · 1 filter
Enhancing Long Video Generation Consistency without Tuning
Xingyao Li, Fengzhuo Zhang, Jiachun Pan +3
Despite the considerable progress achieved in the long video generation problem, there is still significant room to improve the consistency of the generated videos, particularly in…
Towards Accurate Guided Diffusion Sampling through Symplectic Adjoint Method
Jiachun Pan, Hanshu Yan, Jun Hao Liew +2
Training-free guided sampling in diffusion models leverages off-the-shelf pre-trained networks, such as an aesthetic evaluation model, to guide the generation process. Current trai…
AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models
Jiachun Pan, Jun Hao Liew, Vincent Y. F. Tan +2
Existing customization methods require access to multiple reference examples to align pre-trained diffusion probabilistic models (DPMs) with user-provided concepts. This paper aims…
DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing
Yujun Shi, Chuhui Xue, Jun Hao Liew +5
Accurate and controllable image editing is a challenging task that has attracted significant attention recently. Notably, DragGAN is an interactive point-based image editing framew…