Search Results for author: Jiachun Pan

Found 4 papers, 3 papers with code

Towards Accurate Guided Diffusion Sampling through Symplectic Adjoint Method

1 code implementation19 Dec 2023 Jiachun Pan, Hanshu Yan, Jun Hao Liew, Jiashi Feng, Vincent Y. F. Tan

However, since the off-the-shelf pre-trained networks are trained on clean images, the one-step estimation procedure of the clean image may be inaccurate, especially in the early stages of the generation process in diffusion models.

Video Generation

AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models

1 code implementation20 Jul 2023 Jiachun Pan, Jun Hao Liew, Vincent Y. F. Tan, Jiashi Feng, Hanshu Yan

Existing customization methods require access to multiple reference examples to align pre-trained diffusion probabilistic models (DPMs) with user-provided concepts.

Denoising

DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing

3 code implementations26 Jun 2023 Yujun Shi, Chuhui Xue, Jun Hao Liew, Jiachun Pan, Hanshu Yan, Wenqing Zhang, Vincent Y. F. Tan, Song Bai

In this work, we extend this editing framework to diffusion models and propose a novel approach DragDiffusion.

Towards Understanding Why Mask-Reconstruction Pretraining Helps in Downstream Tasks

no code implementations8 Jun 2022 Jiachun Pan, Pan Zhou, Shuicheng Yan

To solve these problems, we first theoretically show that on an auto-encoder of a two/one-layered convolution encoder/decoder, MRP can capture all discriminative features of each potential semantic class in the pretraining dataset.

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