23 citations · 57 across the 13 of their papers we have counts for
13 papers
Instruction-based Image Editing with Planning, Reasoning, and Generation
Liya Ji, Chenyang Qi, Qifeng Chen
Editing images via instruction provides a natural way to generate interactive content, but it is a big challenge due to the higher requirement of scene understanding and generation…
DiT4Edit: Diffusion Transformer for Image Editing
Kunyu Feng, Yue Ma, Bingyuan Wang +4
Despite recent advances in UNet-based image editing, methods for shape-aware object editing in high-resolution images are still lacking. Compared to UNet, Diffusion Transformers (D…
Adaptive Domain Learning for Cross-domain Image Denoising
Zian Qian, Chenyang Qi, Ka Lung Law +3
Different camera sensors have different noise patterns, and thus an image denoising model trained on one sensor often does not generalize well to a different sensor. One plausible…
Follow-Your-Click: Open-domain Regional Image Animation via Short Prompts
Yue Ma, Yingqing He, Hongfa Wang +8
Despite recent advances in image-to-video generation, better controllability and local animation are less explored. Most existing image-to-video methods are not locally aware and t…
AnimateZero: Video Diffusion Models are Zero-Shot Image Animators
Jiwen Yu, Xiaodong Cun, Chenyang Qi +4
Large-scale text-to-video (T2V) diffusion models have great progress in recent years in terms of visual quality, motion and temporal consistency. However, the generation process is…
SPIRE: Semantic Prompt-Driven Image Restoration
Chenyang Qi, Zhengzhong Tu, Keren Ye +4
Text-driven diffusion models have become increasingly popular for various image editing tasks, including inpainting, stylization, and object replacement. However, it still remains…
MagicStick: Controllable Video Editing via Control Handle Transformations
Yue Ma, Xiaodong Cun, Sen Liang +5
Text-based video editing has recently attracted considerable interest in changing the style or replacing the objects with a similar structure. Beyond this, we demonstrate that prop…
Inserting Anybody in Diffusion Models via Celeb Basis
Ge Yuan, Xiaodong Cun, Yong Zhang +5
Exquisite demand exists for customizing the pretrained large text-to-image model, , Stable Diffusion, to generate innovative concepts, such as the users themselves.…
Real-time 6K Image Rescaling with Rate-distortion Optimization
Chenyang Qi, Xin Yang, Ka Leong Cheng +2
Contemporary image rescaling aims at embedding a high-resolution (HR) image into a low-resolution (LR) thumbnail image that contains embedded information for HR image reconstructio…
FateZero: Fusing Attentions for Zero-shot Text-based Video Editing
Chenyang Qi, Xiaodong Cun, Yong Zhang +4
The diffusion-based generative models have achieved remarkable success in text-based image generation. However, since it contains enormous randomness in generation progress, it is…
MetaPortrait: Identity-Preserving Talking Head Generation with Fast Personalized Adaptation
Bowen Zhang, Chenyang Qi, Pan Zhang +6
In this work, we propose an ID-preserving talking head generation framework, which advances previous methods in two aspects. First, as opposed to interpolating from sparse flow, we…
Real-time Streaming Video Denoising with Bidirectional Buffers
Chenyang Qi, Junming Chen, Xin Yang +1
Video streams are delivered continuously to save the cost of storage and device memory. Real-time denoising algorithms are typically adopted on the user device to remove the noise…
Shape from Polarization for Complex Scenes in the Wild
Chenyang Lei, Chenyang Qi, Jiaxin Xie +3
We present a new data-driven approach with physics-based priors to scene-level normal estimation from a single polarization image. Existing shape from polarization (SfP) works main…