74 citations · 216 across the 38 of their papers we have counts for
11 papers · 1 filter
4DGen: Grounded 4D Content Generation with Spatial-temporal Consistency
Yuyang Yin, Dejia Xu, Zhangyang Wang +2
Aided by text-to-image and text-to-video diffusion models, existing 4D content creation pipelines utilize score distillation sampling to optimize the entire dynamic 3D scene. Howev…
Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields
Shijie Zhou, Haoran Chang, Sicheng Jiang +7
3D scene representations have gained immense popularity in recent years. Methods that use Neural Radiance fields are versatile for traditional tasks such as novel view synthesis. I…
LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS
Zhiwen Fan, Kevin Wang, Kairun Wen +3
Recent advances in real-time neural rendering using point-based techniques have enabled broader adoption of 3D representations. However, foundational approaches like 3D Gaussian Sp…
Multi-Concept T2I-Zero: Tweaking Only The Text Embeddings and Nothing Else
Hazarapet Tunanyan, Dejia Xu, Shant Navasardyan +2
Recent advances in text-to-image diffusion models have enabled the photorealistic generation of images from text prompts. Despite the great progress, existing models still struggle…
Pose-Free Generalizable Rendering Transformer
Zhiwen Fan, Panwang Pan, Peihao Wang +6
In the field of novel-view synthesis, the necessity of knowing camera poses (e.g., via Structure from Motion) before rendering has been a common practice. However, the consistent a…
CLE Diffusion: Controllable Light Enhancement Diffusion Model
Yuyang Yin, Dejia Xu, Chuangchuang Tan +3
Low light enhancement has gained increasing importance with the rapid development of visual creation and editing. However, most existing enhancement algorithms are designed to homo…
INR-Arch: A Dataflow Architecture and Compiler for Arbitrary-Order Gradient Computations in Implicit Neural Representation Processing
Stefan Abi-Karam, Rishov Sarkar, Dejia Xu +3
An increasing number of researchers are finding use for nth-order gradient computations for a wide variety of applications, including graphics, meta-learning (MAML), scientific com…
Reference-based Painterly Inpainting via Diffusion: Crossing the Wild Reference Domain Gap
Dejia Xu, Xingqian Xu, Wenyan Cong +2
Have you ever imagined how it would look if we placed new objects into paintings? For example, what would it look like if we placed a basketball into Claude Monet's ``Water Lilies,…
POPE: 6-DoF Promptable Pose Estimation of Any Object, in Any Scene, with One Reference
Zhiwen Fan, Panwang Pan, Peihao Wang +4
Despite the significant progress in six degrees-of-freedom (6DoF) object pose estimation, existing methods have limited applicability in real-world scenarios involving embodied age…
Outline, Then Details: Syntactically Guided Coarse-To-Fine Code Generation
Wenqing Zheng, S P Sharan, Ajay Kumar Jaiswal +4
For a complicated algorithm, its implementation by a human programmer usually starts with outlining a rough control flow followed by iterative enrichments, eventually yielding care…
PAIR-Diffusion: A Comprehensive Multimodal Object-Level Image Editor
Vidit Goel, Elia Peruzzo, Yifan Jiang +6
Generative image editing has recently witnessed extremely fast-paced growth. Some works use high-level conditioning such as text, while others use low-level conditioning. Neverthel…