75 citations · 96 across the 9 of their papers we have counts for
9 papers
Before the Shutter: Aesthetic and Actionable Portrait Photography Planning in 3D Scenes
Ruixiang Jiang, Chang Wen Chen
Portrait photography is largely decided before the shutter opens: the subject's pose, the camera configuration, and the lighting devices must be coordinated within the surrounding…
On Semiotic-Grounded Interpretive Evaluation of Generative Art
Ruixiang Jiang, Changwen Chen
Interpretation is essential to deciphering the language of art: audiences communicate with artists by recovering meaning from visual artifacts. However, current Generative Art (Gen…
Multimodal LLMs Can Reason about Aesthetics in Zero-Shot
Ruixiang Jiang, Changwen Chen
The rapid technical progress of generative art (GenArt) has democratized the creation of visually appealing imagery. However, achieving genuine artistic impact - the kind that reso…
DiffArtist: Towards Structure and Appearance Controllable Image Stylization
Ruixiang Jiang, Changwen Chen
Artistic styles are defined by both their structural and appearance elements. Existing neural stylization techniques primarily focus on transferring appearance-level features such…
MoPE: Mixture of Prompt Experts for Parameter-Efficient and Scalable Multimodal Fusion
Ruixiang Jiang, Lingbo Liu, Changwen Chen
Despite the demonstrated parameter efficiency of prompt-based fusion, its limited adaptivity and expressiveness hinder its effectiveness for multimodal applications at scale. In th…
Conditional Prompt Tuning for Multimodal Fusion
Ruixiang Jiang, Lingbo Liu, Changwen Chen
We show that the representation of one modality can effectively guide the prompting of another modality for parameter-efficient multimodal fusion. Specifically, we first encode one…
CLIP-Count: Towards Text-Guided Zero-Shot Object Counting
Ruixiang Jiang, Lingbo Liu, Changwen Chen
Recent advances in visual-language models have shown remarkable zero-shot text-image matching ability that is transferable to downstream tasks such as object detection and segmenta…
AvatarCraft: Transforming Text into Neural Human Avatars with Parameterized Shape and Pose Control
Ruixiang Jiang, Can Wang, Jingbo Zhang +4
Neural implicit fields are powerful for representing 3D scenes and generating high-quality novel views, but it remains challenging to use such implicit representations for creating…
NeRF-Art: Text-Driven Neural Radiance Fields Stylization
Can Wang, Ruixiang Jiang, Menglei Chai +3
As a powerful representation of 3D scenes, the neural radiance field (NeRF) enables high-quality novel view synthesis from multi-view images. Stylizing NeRF, however, remains chall…