activity
20242026
most citedCompositional 3D-aware Video Generation with LLM Director

1 citations · 3 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2026

CP4D: Compositional Physics-aware 4D Scene Generation

Hanxin Zhu, Cong Wang, Tianyu He +4

4D generation (\textit{i.e.}, dynamic 3D generation) has recently emerged as a rapidly growing research frontier due to its powerful spatiotemporal modeling capabilities. However,…

cs.SD2025

Sonic4D: Spatial Audio Generation for Immersive 4D Scene Exploration

Siyi Xie, Hanxin Zhu, Xinyi Chen +3

Recent advancements in 4D generation have demonstrated its remarkable capability in synthesizing photorealistic renderings of dynamic 3D scenes. However, despite achieving impressi…

cs.CV2025★ 1 cited

AR4D: Autoregressive 4D Generation from Monocular Videos

Hanxin Zhu, Tianyu He, Xiqian Yu +3

Recent advancements in generative models have ignited substantial interest in dynamic 3D content creation (\ie, 4D generation). Existing approaches primarily rely on Score Distilla…

cs.CV2024

GSemSplat: Generalizable Semantic 3D Gaussian Splatting from Uncalibrated Image Pairs

Xingrui Wang, Cuiling Lan, Hanxin Zhu +2

Modeling and understanding the 3D world is crucial for various applications, from augmented reality to robotic navigation. Recent advancements based on 3D Gaussian Splatting have i…

cs.CV2024★ 1 cited

Compositional 3D-aware Video Generation with LLM Director

Hanxin Zhu, Tianyu He, Anni Tang +3

Significant progress has been made in text-to-video generation through the use of powerful generative models and large-scale internet data. However, substantial challenges remain i…

cs.CV2024★ 1 cited

UCIP: A Universal Framework for Compressed Image Super-Resolution using Dynamic Prompt

Xin Li, Bingchen Li, Yeying Jin +4

Compressed Image Super-resolution (CSR) aims to simultaneously super-resolve the compressed images and tackle the challenging hybrid distortions caused by compression. However, exi…

cs.CV2024

GaussianSR: 3D Gaussian Super-Resolution with 2D Diffusion Priors

Xiqian Yu, Hanxin Zhu, Tianyu He +1

Achieving high-resolution novel view synthesis (HRNVS) from low-resolution input views is a challenging task due to the lack of high-resolution data. Previous methods optimize high…

cs.CV2024

End-to-End Rate-Distortion Optimized 3D Gaussian Representation

Henan Wang, Hanxin Zhu, Tianyu He +4

3D Gaussian Splatting (3DGS) has become an emerging technique with remarkable potential in 3D representation and image rendering. However, the substantial storage overhead of 3DGS…

cs.CV2024

Is Vanilla MLP in Neural Radiance Field Enough for Few-shot View Synthesis?

Hanxin Zhu, Tianyu He, Xin Li +2

Neural Radiance Field (NeRF) has achieved superior performance for novel view synthesis by modeling the scene with a Multi-Layer Perception (MLP) and a volume rendering procedure,…

cs.CV2024

CMC: Few-shot Novel View Synthesis via Cross-view Multiplane Consistency

Hanxin Zhu, Tianyu He, Zhibo Chen

Neural Radiance Field (NeRF) has shown impressive results in novel view synthesis, particularly in Virtual Reality (VR) and Augmented Reality (AR), thanks to its ability to represe…