7 citations · 9 across the 10 of their papers we have counts for
10 papers · 1 filter
GLaVE-Cap: Global-Local Aligned Video Captioning with Vision Expert Integration
Wan Xu, Feng Zhu, Yihan Zeng +4
Video detailed captioning aims to generate comprehensive video descriptions to facilitate video understanding. Recently, most efforts in the video detailed captioning community hav…
CoherenDream: Boosting Holistic Text Coherence in 3D Generation via Multimodal Large Language Models Feedback
Chenhan Jiang, Yihan Zeng, Dit-Yan Yeung
Score Distillation Sampling (SDS) has achieved remarkable success in text-to-3D content generation. However, SDS-based methods struggle to maintain semantic fidelity for user promp…
UniGS: Unified Language-Image-3D Pretraining with Gaussian Splatting
Haoyuan Li, Yanpeng Zhou, Tao Tang +5
Recent advancements in multi-modal 3D pre-training methods have shown promising efficacy in learning joint representations of text, images, and point clouds. However, adopting poin…
FramePainter: Endowing Interactive Image Editing with Video Diffusion Priors
Yabo Zhang, Xinpeng Zhou, Yihan Zeng +3
Interactive image editing allows users to modify images through visual interaction operations such as drawing, clicking, and dragging. Existing methods construct such supervision s…
JointDreamer: Ensuring Geometry Consistency and Text Congruence in Text-to-3D Generation via Joint Score Distillation
Chenhan Jiang, Yihan Zeng, Tianyang Hu +4
Score Distillation Sampling (SDS) by well-trained 2D diffusion models has shown great promise in text-to-3D generation. However, this paradigm distills view-agnostic 2D image distr…
Collaborative Novel Object Discovery and Box-Guided Cross-Modal Alignment for Open-Vocabulary 3D Object Detection
Yang Cao, Yihan Zeng, Hang Xu +1
Open-vocabulary 3D Object Detection (OV-3DDet) addresses the detection of objects from an arbitrary list of novel categories in 3D scenes, which remains a very challenging problem.…
GS-CLIP: Gaussian Splatting for Contrastive Language-Image-3D Pretraining from Real-World Data
Haoyuan Li, Yanpeng Zhou, Yihan Zeng +2
3D Shape represented as point cloud has achieve advancements in multimodal pre-training to align image and language descriptions, which is curial to object identification, classifi…
DreamControl: Control-Based Text-to-3D Generation with 3D Self-Prior
Tianyu Huang, Yihan Zeng, Zhilu Zhang +5
3D generation has raised great attention in recent years. With the success of text-to-image diffusion models, the 2D-lifting technique becomes a promising route to controllable 3D…
CoDA: Collaborative Novel Box Discovery and Cross-modal Alignment for Open-vocabulary 3D Object Detection
Yang Cao, Yihan Zeng, Hang Xu +1
Open-vocabulary 3D Object Detection (OV-3DDet) aims to detect objects from an arbitrary list of categories within a 3D scene, which remains seldom explored in the literature. There…
TextField3D: Towards Enhancing Open-Vocabulary 3D Generation with Noisy Text Fields
Tianyu Huang, Yihan Zeng, Bowen Dong +4
Recent works learn 3D representation explicitly under text-3D guidance. However, limited text-3D data restricts the vocabulary scale and text control of generations. Generators may…