182 citations · 294 across the 8 of their papers we have counts for
9 papers
RenderFormer-V2: Neural Rendering with Heterogeneous Scene Primitives
Chong Zeng, Yue Dong, Pieter Peers +2
We present 'RenderFormer-V2', a unified learned transformer-based neural rendering model, complementary to modern physics-based rendering systems, that can handle diverse light-tra…
RenderFormer: Transformer-based Neural Rendering of Triangle Meshes with Global Illumination
Chong Zeng, Yue Dong, Pieter Peers +2
We present RenderFormer, a neural rendering pipeline that directly renders an image from a triangle-based representation of a scene with full global illumination effects and that d…
DiLightNet: Fine-grained Lighting Control for Diffusion-based Image Generation
Chong Zeng, Yue Dong, Pieter Peers +3
This paper presents a novel method for exerting fine-grained lighting control during text-driven diffusion-based image generation. While existing diffusion models already have the…
In the Blink of an Eye: Event-based Emotion Recognition
Haiwei Zhang, Jiqing Zhang, Bo Dong +5
We introduce a wearable single-eye emotion recognition device and a real-time approach to recognizing emotions from partial observations of an emotion that is robust to changes in…
Relighting Neural Radiance Fields with Shadow and Highlight Hints
Chong Zeng, Guojun Chen, Yue Dong +3
This paper presents a novel neural implicit radiance representation for free viewpoint relighting from a small set of unstructured photographs of an object lit by a moving point li…
Intrinsic Mesh Simplification
Randy Shoemaker, Sam Sartor, Pieter Peers
This paper presents a novel simplification method for removing vertices from an intrinsic triangulation corresponding to extrinsic vertices lying on near-developable (i.e., with li…
Estimating Homogeneous Data-driven BRDF Parameters from a Reflectance Map under Known Natural Lighting
Victoria L. Cooper, James C. Bieron, Pieter Peers
In this paper we demonstrate robust estimation of the model parameters of a fully-linear data-driven BRDF model from a reflectance map under known natural lighting. To regularize t…
Synthesizing 3D Shapes from Silhouette Image Collections using Multi-projection Generative Adversarial Networks
Xiao Li, Yue Dong, Pieter Peers +1
We present a new weakly supervised learning-based method for generating novel category-specific 3D shapes from unoccluded image collections. Our method is weakly supervised and onl…
Modeling Surface Appearance from a Single Photograph using Self-augmented Convolutional Neural Networks
Xiao Li, Yue Dong, Pieter Peers +1
We present a convolutional neural network (CNN) based solution for modeling physically plausible spatially varying surface reflectance functions (SVBRDF) from a single photograph o…