The 4th ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia
Conference 12-15 December • Exhibition 13-15 December • Hong Kong Convention & Exhibition Centre
 

Technical Papers

Rendering: Accuracy and Efficiency

Wednesday, 14 December 14:15 - 16:00 |  Convention Hall C

Session Chair
Jason Lawrence

Displacement Interpolation Using Lagrangian Mass Transport - Picture

Displacement Interpolation Using Lagrangian Mass Transport


This paper develops a practical displacement interpolation, advecting one function towards the other rather than cross-fading. We demonstrate its use for bidirectional reflectance distribution functions (BRDFs), value functions, color distributions, and animated stippling.


Nicolas Bonneel, National Institute for Research in Computer Science and Control
Michiel van de Panne, University of British Columbia Vancouver
Sylvain Paris, Adobe Systems Inc.
Wolfgang Heidrich, University of British Columbia Vancouver


Adaptive Sampling and Reconstruction using Greedy Error Minimization - Picture

Adaptive Sampling and Reconstruction using Greedy Error Minimization


A novel approach for adaptive sampling and reconstruction for Monte Carlo rendering based on greedy error minimization.


Fabrice Rousselle, University of Bern
Claude Knaus, University of Bern
Matthias Zwicker, University of Bern


T&I Engine: Traversal and Intersection Engine for Hardware Accelerated Ray Tracing - Picture

T&I Engine: Traversal and Intersection Engine for Hardware Accelerated Ray Tracing


We propose a ray tracing hardware architecture integrating three novel approaches: 1) a cache-efficient layout and its traversal architecture, 2) a three-phase ray-triangle intersection test architecture that takes advantage of early exit, 3) a latency hiding architecture defined as the ray accumulation unit.


Jae-Ho Nah, Yonsei University
Jeong-Soo Park, Yonsei University
Chanmin Park, Samsung Electronics
Jin-Woo Kim, Yonsei University
Yun-Hye Jung, Yonsei University
Woo-Chan Park, Sejong University
Tack-Don Han, Yonsei University


Coherent Parallel Hashing - Picture

Coherent Parallel Hashing


We introduce a new parallel hashing scheme which reaches very high packing density without failing and exploits coherence in the data and the access patterns for faster performance. It is simple to implement on the GPU, making it a good candidate to store sparse data in Computer Graphics applications.


Ismael Garcia Fernandez, University of Girona
Sylvain Lefebvre, National Institute for Research in Computer Science and Control
Samuel Hornus, National Institute for Research in Computer Science and Control
Anass Lasram, National Institute for Research in Computer Science and Control